Daily paper 2022 reading list
List is in progress – missing stuff will be filled shortly.
155
Solanas, M. P., Zhan, M., & Gelder, B. de. (2022). Perceptual awareness is gradual in temporal and dichotomous in fronto-parietal cortices (p. 2022.12.14.520410). bioRxiv. https://doi.org/10.1101/2022.12.14.520410
155
Solanas, M. P., Zhan, M., & Gelder, B. de. (2022). Perceptual awareness is gradual in temporal and dichotomous in fronto-parietal cortices (p. 2022.12.14.520410). bioRxiv. https://doi.org/10.1101/2022.12.14.520410
https://fediscience.org/@HeedLab/109557754626681071
asks whether conscious perception is yes/no or gradual. Behavior supports the latter; brain imaging shows areas for both.
Stimuli: neutral and fearful bodies, shown to the non-dominant eye while dominant eye sees masking stimulus.
People rate on a 4-point scale whether/howe well they perceived the body.
asks whether conscious perception is yes/no or gradual. Behavior supports the latter; brain imaging shows areas for both.
Stimuli: neutral and fearful bodies, shown to the non-dominant eye while dominant eye sees masking stimulus.
People rate on a 4-point scale whether/howe well they perceived the body.
Good intro. Data patterns seem not too strong to me.
154
Trisovic, A., Lau, M. K., Pasquier, T., & Crosas, M. (2022). A large-scale study on research code quality and execution. Scientific Data, 9(1), Article 1. https://doi.org/10.1038/s41597-022-01143-6
https://fediscience.org/@HeedLab/109524678433455609
downloaded all R_code deposited in one scientific data archive from 2010-2020 and tries whether it still runs.
Finds that running out of the box is significantly improved by just 3 easy, automated edits that install packages and adjust hardcoded paths.
Still, though, many scripts don't run through.
downloaded all R_code deposited in one scientific data archive from 2010-2020 and tries whether it still runs.
Finds that running out of the box is significantly improved by just 3 easy, automated edits that install packages and adjust hardcoded paths.
Still, though, many scripts don't run through.
153
Baker, D. H. (2021). Power contours: Optimising sample size and precision in experimental psychology and human neuroscience. Psychological Methods, 26(3), 295. https://doi.org/10.1037/met0000337
https://fediscience.org/@HeedLab/109513795878272698
draws attention to the fact that statistical power is achieved not solely by higher participant samples, but also by higher trial numbers.
Presents methods and R code to:
- plot the tradeoff between participant and trial numbers
- simulate the content of these plots by drawing from your own data (for lots of paradigms/methods: RT, errors, #psychophysics, #EEG, #fMRI).
152
Delorme, A. (2022). EEG is better left alone (p. 2022.12.03.518987). bioRxiv. https://doi.org/10.1101/2022.12.03.518987
draws attention to the fact that statistical power is achieved not solely by higher participant samples, but also by higher trial numbers.
Presents methods and R code to:
- plot the tradeoff between participant and trial numbers
- simulate the content of these plots by drawing from your own data (for lots of paradigms/methods: RT, errors, #psychophysics, #EEG, #fMRI).
152
Delorme, A. (2022). EEG is better left alone (p. 2022.12.03.518987). bioRxiv. https://doi.org/10.1101/2022.12.03.518987
https://fediscience.org/@HeedLab/109505232308275450
shows that many preprocessing steps (various softwares!) deteriorate effects in #eeg data. Only thing really worth doing (according to this analysis) is high pass filtering.
BUT: test stat is number of electrodes showing sign. condition diff. More = better. What if preprocessing removes condition diffs unrelated to the cogn process of interest, eg saccade, muscle effects?
Would be curious to hear what others think
shows that many preprocessing steps (various softwares!) deteriorate effects in #eeg data. Only thing really worth doing (according to this analysis) is high pass filtering.
BUT: test stat is number of electrodes showing sign. condition diff. More = better. What if preprocessing removes condition diffs unrelated to the cogn process of interest, eg saccade, muscle effects?
Would be curious to hear what others think
151
Dendauw, E., Evans, N. J., Logan, G. D., Gajdos, T., Haffen, E., Bennabi, D., & Servant, M. (2022). A dual-stage dual-threshold evidence accumulation theory for decision-making, motor preparation, and motor execution. PsyArXiv. https://doi.org/10.31234/osf.io/dxsjh
Dendauw, E., Evans, N. J., Logan, G. D., Gajdos, T., Haffen, E., Bennabi, D., & Servant, M. (2022). A dual-stage dual-threshold evidence accumulation theory for decision-making, motor preparation, and motor execution. PsyArXiv. https://doi.org/10.31234/osf.io/dxsjh
new work by Mathieu Servant (+ colleagues) who has done very interesting work on decision making and diffusion models in the past.
Here, they extend the diffusion model by assuming 2 related accumulation processes, one "decisional" and one "motor". The model outperforms other models in 4 quite different cog psy tasks (but still does not explain it all ;) )
150
Prince, J. S., Charest, I., Kurzawski, J. W., Pyles, J. A., Tarr, M. J., & Kay, K. N. (2022). Improving the accuracy of single-trial fMRI response estimates using GLMsingle. ELife, 11, e77599. https://doi.org/10.7554/eLife.77599
Here, they extend the diffusion model by assuming 2 related accumulation processes, one "decisional" and one "motor". The model outperforms other models in 4 quite different cog psy tasks (but still does not explain it all ;) )
150
Prince, J. S., Charest, I., Kurzawski, J. W., Pyles, J. A., Tarr, M. J., & Kay, K. N. (2022). Improving the accuracy of single-trial fMRI response estimates using GLMsingle. ELife, 11, e77599. https://doi.org/10.7554/eLife.77599
evaluates an automated 3-step method, "GLMsingle" to improve SNR in #fMRI single trial analysis.
The 3 components are
1, choosing the right BOLD response shape for each voxel
2, automatic denoising via PCA and cross-validation,
3, regularization via ridge regression.
The method appears to be beneficial in a variety of analyses (e.g. MVPA, RSA) and paradigms (regarding nr of stimuli/conditions, time intervals etc.).
The 3 components are
1, choosing the right BOLD response shape for each voxel
2, automatic denoising via PCA and cross-validation,
3, regularization via ridge regression.
The method appears to be beneficial in a variety of analyses (e.g. MVPA, RSA) and paradigms (regarding nr of stimuli/conditions, time intervals etc.).
154
Trisovic, A., Lau, M. K., Pasquier, T., & Crosas, M. (2022). A large-scale study on research code quality and execution. Scientific Data, 9(1), Article 1. https://doi.org/10.1038/s41597-022-01143-6
https://fediscience.org/@HeedLab/109524678433455609
downloaded all R_code deposited in one scientific data archive from 2010-2020 and tries whether it still runs.
Finds that running out of the box is significantly improved by just 3 easy, automated edits that install packages and adjust hardcoded paths.
Still, though, many scripts don't run through.
downloaded all R_code deposited in one scientific data archive from 2010-2020 and tries whether it still runs.
Finds that running out of the box is significantly improved by just 3 easy, automated edits that install packages and adjust hardcoded paths.
Still, though, many scripts don't run through.
153
Baker, D. H. (2021). Power contours: Optimising sample size and precision in experimental psychology and human neuroscience. Psychological Methods, 26(3), 295. https://doi.org/10.1037/met0000337
https://fediscience.org/@HeedLab/109513795878272698
draws attention to the fact that statistical power is achieved not solely by higher participant samples, but also by higher trial numbers.
Presents methods and R code to:
- plot the tradeoff between participant and trial numbers
- simulate the content of these plots by drawing from your own data (for lots of paradigms/methods: RT, errors, #psychophysics, #EEG, #fMRI).
152
Delorme, A. (2022). EEG is better left alone (p. 2022.12.03.518987). bioRxiv. https://doi.org/10.1101/2022.12.03.518987
draws attention to the fact that statistical power is achieved not solely by higher participant samples, but also by higher trial numbers.
Presents methods and R code to:
- plot the tradeoff between participant and trial numbers
- simulate the content of these plots by drawing from your own data (for lots of paradigms/methods: RT, errors, #psychophysics, #EEG, #fMRI).
152
Delorme, A. (2022). EEG is better left alone (p. 2022.12.03.518987). bioRxiv. https://doi.org/10.1101/2022.12.03.518987
https://fediscience.org/@HeedLab/109505232308275450
shows that many preprocessing steps (various softwares!) deteriorate effects in #eeg data. Only thing really worth doing (according to this analysis) is high pass filtering.
BUT: test stat is number of electrodes showing sign. condition diff. More = better. What if preprocessing removes condition diffs unrelated to the cogn process of interest, eg saccade, muscle effects?
Would be curious to hear what others think
shows that many preprocessing steps (various softwares!) deteriorate effects in #eeg data. Only thing really worth doing (according to this analysis) is high pass filtering.
BUT: test stat is number of electrodes showing sign. condition diff. More = better. What if preprocessing removes condition diffs unrelated to the cogn process of interest, eg saccade, muscle effects?
Would be curious to hear what others think
151
Dendauw, E., Evans, N. J., Logan, G. D., Gajdos, T., Haffen, E., Bennabi, D., & Servant, M. (2022). A dual-stage dual-threshold evidence accumulation theory for decision-making, motor preparation, and motor execution. PsyArXiv. https://doi.org/10.31234/osf.io/dxsjh
Dendauw, E., Evans, N. J., Logan, G. D., Gajdos, T., Haffen, E., Bennabi, D., & Servant, M. (2022). A dual-stage dual-threshold evidence accumulation theory for decision-making, motor preparation, and motor execution. PsyArXiv. https://doi.org/10.31234/osf.io/dxsjh
new work by Mathieu Servant (+ colleagues) who has done very interesting work on decision making and diffusion models in the past.
Here, they extend the diffusion model by assuming 2 related accumulation processes, one "decisional" and one "motor". The model outperforms other models in 4 quite different cog psy tasks (but still does not explain it all ;) )
150
Prince, J. S., Charest, I., Kurzawski, J. W., Pyles, J. A., Tarr, M. J., & Kay, K. N. (2022). Improving the accuracy of single-trial fMRI response estimates using GLMsingle. ELife, 11, e77599. https://doi.org/10.7554/eLife.77599
Here, they extend the diffusion model by assuming 2 related accumulation processes, one "decisional" and one "motor". The model outperforms other models in 4 quite different cog psy tasks (but still does not explain it all ;) )
150
Prince, J. S., Charest, I., Kurzawski, J. W., Pyles, J. A., Tarr, M. J., & Kay, K. N. (2022). Improving the accuracy of single-trial fMRI response estimates using GLMsingle. ELife, 11, e77599. https://doi.org/10.7554/eLife.77599
evaluates an automated 3-step method, "GLMsingle" to improve SNR in #fMRI single trial analysis.
The 3 components are
1, choosing the right BOLD response shape for each voxel
2, automatic denoising via PCA and cross-validation,
3, regularization via ridge regression.
The method appears to be beneficial in a variety of analyses (e.g. MVPA, RSA) and paradigms (regarding nr of stimuli/conditions, time intervals etc.).
The 3 components are
1, choosing the right BOLD response shape for each voxel
2, automatic denoising via PCA and cross-validation,
3, regularization via ridge regression.
The method appears to be beneficial in a variety of analyses (e.g. MVPA, RSA) and paradigms (regarding nr of stimuli/conditions, time intervals etc.).
149
Weber, F., Ickstadt, K., & Glass, Ä. (2022). The R Journal: Shinybrms: Fitting Bayesian Regression Models Using a Graphical User Interface for the R Package brms. The R Journal, 14(2), 96–120. https://doi.org/10.32614/RJ-2022-027
Weber, F., Ickstadt, K., & Glass, Ä. (2022). The R Journal: Shinybrms: Fitting Bayesian Regression Models Using a Graphical User Interface for the R Package brms. The R Journal, 14(2), 96–120. https://doi.org/10.32614/RJ-2022-027
https://fediscience.org/@HeedLab/109443076947030227
presents an R shinyapp interface to the brms package for Bayesian regression modelling.
Worked well for me, though it seems to me that there are so many aspects to a Bayesian regression that I prefer code. But it's an easy start into brms models, e.g. to briefly run a Bayes model to compare to an anova or LMM.
Authors hope to boost Bayesian models more generally by offering easy (= see & click) access.
presents an R shinyapp interface to the brms package for Bayesian regression modelling.
Worked well for me, though it seems to me that there are so many aspects to a Bayesian regression that I prefer code. But it's an easy start into brms models, e.g. to briefly run a Bayes model to compare to an anova or LMM.
Authors hope to boost Bayesian models more generally by offering easy (= see & click) access.
148
Jensen, M. A., Huang, H., Valencia, G. O., Klassen, B. T., Boom, M. A. van den, Kaufmann, T. J., Schalk, G., Brunner, P., Hermes, D., Worrell, G. A., & Miller, K. J. (2022). Homunculus Interruptus: A motor association area in the depth of the central sulcus (p. 2022.11.20.517292). bioRxiv. https://doi.org/10.1101/2022.11.20.517292
Jensen, M. A., Huang, H., Valencia, G. O., Klassen, B. T., Boom, M. A. van den, Kaufmann, T. J., Schalk, G., Brunner, P., Hermes, D., Worrell, G. A., & Miller, K. J. (2022). Homunculus Interruptus: A motor association area in the depth of the central sulcus (p. 2022.11.20.517292). bioRxiv. https://doi.org/10.1101/2022.11.20.517292
paper 148
adds addtional evidence to the recent report of movement-generalized & "higher-cognitive" activity in primary motor cortex.
https://www.biorxiv.org/content/10.1101/2022.10.26.513940v1 reported such areas based on fMRI connectivity analysis.
This paper came out just weeks after and confirms those findings in patient ECoG recordings.
Text books will have to be revised, and the dual homunculus will likely disappear...
adds addtional evidence to the recent report of movement-generalized & "higher-cognitive" activity in primary motor cortex.
https://www.biorxiv.org/content/10.1101/2022.10.26.513940v1 reported such areas based on fMRI connectivity analysis.
This paper came out just weeks after and confirms those findings in patient ECoG recordings.
Text books will have to be revised, and the dual homunculus will likely disappear...
147
Liesefeld, H. R., & Janczyk, M. (2022). Same same but different: Subtle but consequential differences between two measures to linearly integrate speed and accuracy (LISAS vs. BIS). Behavior Research Methods. https://doi.org/10.3758/s13428-022-01843-2
Liesefeld, H. R., & Janczyk, M. (2022). Same same but different: Subtle but consequential differences between two measures to linearly integrate speed and accuracy (LISAS vs. BIS). Behavior Research Methods. https://doi.org/10.3758/s13428-022-01843-2
paper 147
attempts to balance RT and accuracy w/o recurring to eg. drift diffusion models has led me down a rabbit hole in data analysis.
The "Balanced Integration Score" normalizes & adds RT & acc to penalize loss of acc with higher RT.
But how to normalize in a within-subj design: subj-specific or group-wise? Paper suggests latter, but this retains speed diffs between participants = what a within-subj design usually wants to remove.
attempts to balance RT and accuracy w/o recurring to eg. drift diffusion models has led me down a rabbit hole in data analysis.
The "Balanced Integration Score" normalizes & adds RT & acc to penalize loss of acc with higher RT.
But how to normalize in a within-subj design: subj-specific or group-wise? Paper suggests latter, but this retains speed diffs between participants = what a within-subj design usually wants to remove.
146
DeBruine, L. M., & Barr, D. J. (2021). Understanding Mixed-Effects Models Through Data Simulation. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920965119. https://doi.org/10.1177/2515245920965119
DeBruine, L. M., & Barr, D. J. (2021). Understanding Mixed-Effects Models Through Data Simulation. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920965119. https://doi.org/10.1177/2515245920965119
paper 146
more on R / #rstats / power:
very easy-to-follow intro to simulating data for mixed models with by-subject and by-item random effects, e.g. to compute power (also demonstrated in the paper). More complex examples provided on OSF along with the paper.
145
Ali, A., Ahmad, N., de Groot, E., Johannes van Gerven, M. A., & Kietzmann, T. C. (2022). Predictive coding is a consequence of energy efficiency in recurrent neural networks. Patterns, 100639. https://doi.org/10.1016/j.patter.2022.100639
more on R / #rstats / power:
very easy-to-follow intro to simulating data for mixed models with by-subject and by-item random effects, e.g. to compute power (also demonstrated in the paper). More complex examples provided on OSF along with the paper.
145
Ali, A., Ahmad, N., de Groot, E., Johannes van Gerven, M. A., & Kietzmann, T. C. (2022). Predictive coding is a consequence of energy efficiency in recurrent neural networks. Patterns, 100639. https://doi.org/10.1016/j.patter.2022.100639
https://fediscience.org/@HeedLab/109403491450937883
paper 145
demonstrates that recursive neural #networks develop error and #prediction units when the cost function is on the networks overall (incl. self-produced) input rather than just minimizing output.
Such units are central to theories of predictive coding; thus, the paper shows pred cod emerges without requiring pre-existing hierarchical structure.
144
Green, P., & MacLeod, C. J. (2016). SIMR: An R package for power analysis of generalized linear mixed models by simulation. Methods in Ecology and Evolution, 7(4), 493–498. https://doi.org/10.1111/2041-210X.12504
paper 145
demonstrates that recursive neural #networks develop error and #prediction units when the cost function is on the networks overall (incl. self-produced) input rather than just minimizing output.
Such units are central to theories of predictive coding; thus, the paper shows pred cod emerges without requiring pre-existing hierarchical structure.
144
Green, P., & MacLeod, C. J. (2016). SIMR: An R package for power analysis of generalized linear mixed models by simulation. Methods in Ecology and Evolution, 7(4), 493–498. https://doi.org/10.1111/2041-210X.12504
https://fediscience.org/@HeedLab/109397938967652393
paper 144
is a hands-on description of how to estimate design power by simulating mixed model data in R with a package named simr.
It seems quite simple to use.
143
Lakens, D. (2022). Sample Size Justification. Collabra: Psychology, 8(1), 33267. https://doi.org/10.1525/collabra.33267
paper 144
is a hands-on description of how to estimate design power by simulating mixed model data in R with a package named simr.
It seems quite simple to use.
143
Lakens, D. (2022). Sample Size Justification. Collabra: Psychology, 8(1), 33267. https://doi.org/10.1525/collabra.33267
https://fediscience.org/@HeedLab/109392296084804161
paper 143
considers 6 different ways to justify sample size and explains in detail how studies can be uniformative if you don't give much thought to your study's N (which is common in our field, I'd say).
Very much worth reading even if you feel you already "know everything" about power.
took me more than 1 daily reading slot.
paper 143
considers 6 different ways to justify sample size and explains in detail how studies can be uniformative if you don't give much thought to your study's N (which is common in our field, I'd say).
Very much worth reading even if you feel you already "know everything" about power.
took me more than 1 daily reading slot.
142
Harms, C., & Lakens, D. (2018). Making “null effects” informative: Statistical techniques and inferential frameworks. Journal of Clinical and Translational Research. https://doi.org/10.18053/jctres.03.2017S2.007
Harms, C., & Lakens, D. (2018). Making “null effects” informative: Statistical techniques and inferential frameworks. Journal of Clinical and Translational Research. https://doi.org/10.18053/jctres.03.2017S2.007
https://fediscience.org/@HeedLab/109365735422265696
explains several methods of testing for null effects in an easy-to-understand way, mentioning some important basic concepts of frequentist and Bayesian stats. Should be good to use with students as well.
explains several methods of testing for null effects in an easy-to-understand way, mentioning some important basic concepts of frequentist and Bayesian stats. Should be good to use with students as well.
141
Kayser, C., & Shams, L. (2015). Multisensory Causal Inference in the Brain. PLOS Biology, 13(2), e1002075. https://doi.org/10.1371/journal.pbio.1002075
Kayser, C., & Shams, L. (2015). Multisensory Causal Inference in the Brain. PLOS Biology, 13(2), e1002075. https://doi.org/10.1371/journal.pbio.1002075
https://fediscience.org/@HeedLab/109359241610833877
is a really easy-to-read intro to the idea of Bayesian multisensory integration and causal inference, with a nice figure to explain the concepts.
(though in Fig 1C, the two illustrations with arrows going from s to x are accidentally switched)
is a really easy-to-read intro to the idea of Bayesian multisensory integration and causal inference, with a nice figure to explain the concepts.
(though in Fig 1C, the two illustrations with arrows going from s to x are accidentally switched)
140
Cuppini, C., Magosso, E., Monti, M., Ursino, M., & Yau, J. M. (2022). A neurocomputational analysis of visual bias on bimanual tactile spatial perception during a crossmodal exposure. Frontiers in Neural Circuits, 16. https://www.frontiersin.org/articles/10.3389/fncir.2022.933455
Cuppini, C., Magosso, E., Monti, M., Ursino, M., & Yau, J. M. (2022). A neurocomputational analysis of visual bias on bimanual tactile spatial perception during a crossmodal exposure. Frontiers in Neural Circuits, 16. https://www.frontiersin.org/articles/10.3389/fncir.2022.933455
relates previously reported behavioral results of visual-tactile interactions+learning for stimulus detection to a model of uni- and multisensory modules in the two hemispheres. Model simulations suggest that VT interactions rely on adjustments in both intra- and inter-hemipsheric processing.
https://doi.org/10.3389/fncir.2022.933455
behav data:
https://doi.org/10.1016/j.jmp.2020.102
https://doi.org/10.3389/fncir.2022.933455
behav data:
https://doi.org/10.1016/j.jmp.2020.102
139
Peters, R. M., & Goldreich, D. (2013). Tactile Spatial Acuity in Childhood: Effects of Age and Fingertip Size. PLOS ONE, 8(12), e84650. https://doi.org/10.1371/journal.pone.0084650
Peters, R. M., & Goldreich, D. (2013). Tactile Spatial Acuity in Childhood: Effects of Age and Fingertip Size. PLOS ONE, 8(12), e84650. https://doi.org/10.1371/journal.pone.0084650
https://fediscience.org/@HeedLab/109319035053722310
bigger fingers have worse tactile acuity; this paper shows this is also the case for kids. Yet, when kids grow (as they get older), their acuity (cross-secitonally) deosn’t get worse. There appears to be an opposite trend of age. Authors suggest it has to do with brain maturation.
Paper is also methodologically interesting: presents Guessing Bayes Factor => tests whether participants (e.g. young kids) respond randomly or not.
bigger fingers have worse tactile acuity; this paper shows this is also the case for kids. Yet, when kids grow (as they get older), their acuity (cross-secitonally) deosn’t get worse. There appears to be an opposite trend of age. Authors suggest it has to do with brain maturation.
Paper is also methodologically interesting: presents Guessing Bayes Factor => tests whether participants (e.g. young kids) respond randomly or not.
138
Avraham, G., Taylor, J. A., Breska, A., Ivry, R. B., & McDougle, S. D. (2022). Contextual effects in sensorimotor adaptation adhere to associative learning rules. ELife, 11, e75801. https://doi.org/10.7554/eLife.75801
Avraham, G., Taylor, J. A., Breska, A., Ivry, R. B., & McDougle, S. D. (2022). Contextual effects in sensorimotor adaptation adhere to associative learning rules. ELife, 11, e75801. https://doi.org/10.7554/eLife.75801
addresses the puzzle that movement adaptation has so far not exhibited context learning with arbitrary, e.g. visual/auditory cues. This paper shows it can – if the timing is right.
This directly links adaptation conceptually to conditioning (associative learning), suggesting there may be an overarching account that integrates motor learning.
137
Allen, M., Poggiali, D., Whitaker, K., Marshall, T. R., van Langen, J., & Kievit, R. A. (2021). Raincloud plots: A multi-platform tool for robust data visualization. Wellcome Open Research, 4, 63. https://doi.org/10.12688/wellcomeopenres.15191.2
This directly links adaptation conceptually to conditioning (associative learning), suggesting there may be an overarching account that integrates motor learning.
137
Allen, M., Poggiali, D., Whitaker, K., Marshall, T. R., van Langen, J., & Kievit, R. A. (2021). Raincloud plots: A multi-platform tool for robust data visualization. Wellcome Open Research, 4, 63. https://doi.org/10.12688/wellcomeopenres.15191.2
https://fediscience.org/@HeedLab/109303144732356179
explains how to create raincloudplots in R and python - these are plots that have a boxplot, single participants data points, and a distribution all in one graph.
explains how to create raincloudplots in R and python - these are plots that have a boxplot, single participants data points, and a distribution all in one graph.
very helpful.
136
McAleer, P., Stack, N., Woods, H., DeBruine, L., Paterson, H., Nordmann, E., Kuepper-Tetzel, C. E., & Barr, D. J. (2022). Embedding Data Skills in Research Methods Education: Preparing Students for Reproducible Research. PsyArXiv. https://doi.org/10.31234/osf.io/hq68s
McAleer, P., Stack, N., Woods, H., DeBruine, L., Paterson, H., Nordmann, E., Kuepper-Tetzel, C. E., & Barr, D. J. (2022). Embedding Data Skills in Research Methods Education: Preparing Students for Reproducible Research. PsyArXiv. https://doi.org/10.31234/osf.io/hq68s
https://fediscience.org/@HeedLab/109285930861472486
pleads for including data wrangling - i.e., organizing data prior to analysis - into study programs.
key sentence:
When starting from realistic raw data, nearly 80% of the data analytic effort for this task involves skills not commonly taught— namely, importing, manipulating, and transforming tabular data.
Very detailed example, code available.
Paper also makes suggestions about how to implement data handling into study programmes.
pleads for including data wrangling - i.e., organizing data prior to analysis - into study programs.
key sentence:
When starting from realistic raw data, nearly 80% of the data analytic effort for this task involves skills not commonly taught— namely, importing, manipulating, and transforming tabular data.
Very detailed example, code available.
Paper also makes suggestions about how to implement data handling into study programmes.
135
Henderson, E. L., & Chambers, C. D. (2022). Ten simple rules for writing a Registered Report. PLOS Computational Biology, 18(10), e1010571. https://doi.org/10.1371/journal.pcbi.1010571
Henderson, E. L., & Chambers, C. D. (2022). Ten simple rules for writing a Registered Report. PLOS Computational Biology, 18(10), e1010571. https://doi.org/10.1371/journal.pcbi.1010571
https://fediscience.org/@HeedLab/109279259025331696
back to some meta-stuff: Registered Reports
this paper explains how to register your study at a journal or at Peer Community In prior to running it.
back to some meta-stuff: Registered Reports
this paper explains how to register your study at a journal or at Peer Community In prior to running it.
If you haven't written an RR (like me), then this paper is really useful: lots of hands-on practical tips + checklists + links to accepted stage 1 RR papers.
134
Gordon, E. M., Chauvin, R. J., Van, A. N., Rajesh, A., Nielsen, A., Newbold, D. J., Lynch, C. J., Seider, N. A., Krimmel, S. R., Scheidter, K. M., Monk, J., Miller, R. L., Metoki, A., Montez, D. F., Zheng, A., Elbau, I., Madison, T., Nishino, T., Myers, M. J., … Dosenbach, N. U. F. (2022). A mind-body interface alternates with effector-specific regions in motor cortex (p. 2022.10.26.513940). bioRxiv. https://doi.org/10.1101/2022.10.26.513940
Gordon, E. M., Chauvin, R. J., Van, A. N., Rajesh, A., Nielsen, A., Newbold, D. J., Lynch, C. J., Seider, N. A., Krimmel, S. R., Scheidter, K. M., Monk, J., Miller, R. L., Metoki, A., Montez, D. F., Zheng, A., Elbau, I., Madison, T., Nishino, T., Myers, M. J., … Dosenbach, N. U. F. (2022). A mind-body interface alternates with effector-specific regions in motor cortex (p. 2022.10.26.513940). bioRxiv. https://doi.org/10.1101/2022.10.26.513940
https://fediscience.org/@HeedLab/109274062873992061
fascinating - multiple studies in one, showing convincingly that our concept of primary motor cortex (M1) as a “somatotopic”=body-like homunculus is likely incorrect.
The proposed structure is 3 regions for hand/foot/mouth with other body parts organized concentrically around them. Between these regions, integrative regions with strong links to excutive control, pain, homeostasis.
A must-read
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Parr, T., Pezzulo, G., & Friston, K. J. (2022). Active inference: The free energy principle in mind, brain, and behavior. The MIT Press.
fascinating - multiple studies in one, showing convincingly that our concept of primary motor cortex (M1) as a “somatotopic”=body-like homunculus is likely incorrect.
The proposed structure is 3 regions for hand/foot/mouth with other body parts organized concentrically around them. Between these regions, integrative regions with strong links to excutive control, pain, homeostasis.
A must-read
133
Parr, T., Pezzulo, G., & Friston, K. J. (2022). Active inference: The free energy principle in mind, brain, and behavior. The MIT Press.
https://twitter.com/heedlab/status/1585959236973961217?s=61&t=sQckFmxXULKaUDBykAQT4w
I’ve been using my reading time to read some chapters of the Active Inference book. The cover promises “probably the most lucid and comprehensive treatment…to date”.
I am sorry but I can’t relate to that claim, at least so far, up to ch4.
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Urai, A. E., & Donner, T. H. (2022). Persistent activity in human parietal cortex mediates perceptual choice repetition bias | Nature Communications. Nature Communications, 13(1), 6015. https://doi.org/10.1038/s41467-022-33237-5
I’ve been using my reading time to read some chapters of the Active Inference book. The cover promises “probably the most lucid and comprehensive treatment…to date”.
I am sorry but I can’t relate to that claim, at least so far, up to ch4.
132
Urai, A. E., & Donner, T. H. (2022). Persistent activity in human parietal cortex mediates perceptual choice repetition bias | Nature Communications. Nature Communications, 13(1), 6015. https://doi.org/10.1038/s41467-022-33237-5
https://twitter.com/heedlab/status/1585957730203963398?s=61&t=sQckFmxXULKaUDBykAQT4w
relates idiosnycratic choice history biases to MEG oscillatory signals via evidence accumulation models.
They enter MEG signals (rather than behav choices) in some analyses - very interesting method.
by @AnneEUrai & @donner_lab
relates idiosnycratic choice history biases to MEG oscillatory signals via evidence accumulation models.
They enter MEG signals (rather than behav choices) in some analyses - very interesting method.
by @AnneEUrai & @donner_lab
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Foster, C. (2022). A Distributed Model of Face and Body Integration. Neuroscience Insights, 17, 26331055221119220. https://doi.org/10.1177/26331055221119221
my lab member
@CeliFoster gives an overview over earlier-than-previously-thought interactions of processing visual faces and bodies.
From there, she proposes a distributed model for their integrated processing.
@CeliFoster gives an overview over earlier-than-previously-thought interactions of processing visual faces and bodies.
From there, she proposes a distributed model for their integrated processing.
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Pinto, L., Tank, D. W., & Brody, C. D. (2022). Multiple timescales of sensory-evidence accumulation across the dorsal cortex. ELife, 11, e70263. https://doi.org/10.7554/eLife.70263
in mice, briefly deactivating cortical areas during seconds-long evidence accumulation affects recent and current evidence for PPC deact, but longer-ago evidence for frontal deact.
=> different areas integrate across different time scales.
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Ejaz, N., Hamada, M., & Diedrichsen, J. (2015). Hand use predicts the structure of representations in sensorimotor cortex. Nature Neuroscience, 18(7), 1034–1040. https://doi.org/10.1038/nn.4038
=> different areas integrate across different time scales.
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Ejaz, N., Hamada, M., & Diedrichsen, J. (2015). Hand use predicts the structure of representations in sensorimotor cortex. Nature Neuroscience, 18(7), 1034–1040. https://doi.org/10.1038/nn.4038
examines M1/S1 fMRI patterns of finger movements and finds that they reflect every day use (rather than e.g. muscle activation or somatotopy). Though individuals’ maps differ, they reflect a common underyling structure.
really cool paper.
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Rouder, J., & Haaf, J. M. (2021). Are There Reliable Qualitative Individual Differences in Cognition? Journal of Cognition, 4(1), Article 1. https://doi.org/10.5334/joc.131
really cool paper.
128
Rouder, J., & Haaf, J. M. (2021). Are There Reliable Qualitative Individual Differences in Cognition? Journal of Cognition, 4(1), Article 1. https://doi.org/10.5334/joc.131
suggests, and provides code to implement, checking effect direction per participant rather than doing simple averages. This differentiates between quantitative (all same direction) vs. qualitative (diff part. => diff directions) differences.
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Cisek, P., & Pastor-Bernier, A. (2014). On the challenges and mechanisms of embodied decisions. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1655), 20130479. https://doi.org/10.1098/rstb.2013.0479
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Cisek, P., & Pastor-Bernier, A. (2014). On the challenges and mechanisms of embodied decisions. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1655), 20130479. https://doi.org/10.1098/rstb.2013.0479
https://twitter.com/heedlab/status/1580468188864995329?s=61&t=sQckFmxXULKaUDBykAQT4w
on affordance competition hypothesis and embodied choices - one of the key influential ideas in (“perceptual”) decision making.
Easy to read, lots of “aha!” sentences. Very clearly differentiates “economic” vs. “embodied” decisions.
on affordance competition hypothesis and embodied choices - one of the key influential ideas in (“perceptual”) decision making.
Easy to read, lots of “aha!” sentences. Very clearly differentiates “economic” vs. “embodied” decisions.
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Catani, M., Dell’Acqua, F., Vergani, F., Malik, F., Hodge, H., Roy, P., Valabregue, R., & Thiebaut de Schotten, M. (2012). Short frontal lobe connections of the human brain. Cortex, 48(2), 273–291. https://doi.org/10.1016/j.cortex.2011.12.001
Catani, M., Dell’Acqua, F., Vergani, F., Malik, F., Hodge, H., Roy, P., Valabregue, R., & Thiebaut de Schotten, M. (2012). Short frontal lobe connections of the human brain. Cortex, 48(2), 273–291. https://doi.org/10.1016/j.cortex.2011.12.001
https://twitter.com/heedlab/status/1580448328168329216?s=61&t=sQckFmxXULKaUDBykAQT4w
stunning illustrations of frontal lobe short-range white matter connections. Strong connections between M1 and S1, strongest for the hand; interpreted as M1-S1 hand region = central hub for tactile-visual convergence.
Very interesting discussion
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Cadieux, M. L., & Shore, D. I. (2013). Response Demands and Blindfolding in the Crossed-Hands Deficit: An Exploration of Reference Frame Conflict. Multisensory Research, 26(5), 465–482. https://doi.org/10.1163/22134808-00002423
stunning illustrations of frontal lobe short-range white matter connections. Strong connections between M1 and S1, strongest for the hand; interpreted as M1-S1 hand region = central hub for tactile-visual convergence.
Very interesting discussion
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Cadieux, M. L., & Shore, D. I. (2013). Response Demands and Blindfolding in the Crossed-Hands Deficit: An Exploration of Reference Frame Conflict. Multisensory Research, 26(5), 465–482. https://doi.org/10.1163/22134808-00002423
reports that changing visual status (light on off, eyes open, closed) doesn’t modulate tactile crossing effects. Surprising.
Also reports modulations in dep of response - greater crossing effects when limbs differ for stimuli and responses
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Tamè, L., Tucciarelli, R., Sadibolova, R., Sereno, M. I., & Longo, M. R. (2021). Reconstructing neural representations of tactile space. NeuroImage, 229, 117730. https://doi.org/10.1016/j.neuroimage.2021.117730
Also reports modulations in dep of response - greater crossing effects when limbs differ for stimuli and responses
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Tamè, L., Tucciarelli, R., Sadibolova, R., Sereno, M. I., & Longo, M. R. (2021). Reconstructing neural representations of tactile space. NeuroImage, 229, 117730. https://doi.org/10.1016/j.neuroimage.2021.117730
https://twitter.com/heedlab/status/1579378628579987456?s=61&t=sQckFmxXULKaUDBykAQT4w
uses multidimensional scaling on behavioral and fMRI data to show that distortions of perceived distance on the skin are reflected in M1/S1.
n=12 doesn’t allow testing whether behav & MRI are correlated, but very cool design/analysis.
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Azañón, E., Radulova, S., Haggard, P., & Longo, M. R. (2016). Does the Crossed-Limb Deficit Affect the Uncrossed Portions of Limbs? Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/xhp0000206
uses multidimensional scaling on behavioral and fMRI data to show that distortions of perceived distance on the skin are reflected in M1/S1.
n=12 doesn’t allow testing whether behav & MRI are correlated, but very cool design/analysis.
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Azañón, E., Radulova, S., Haggard, P., & Longo, M. R. (2016). Does the Crossed-Limb Deficit Affect the Uncrossed Portions of Limbs? Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/xhp0000206
https://twitter.com/heedlab/status/1578276072243838979?s=61&t=sQckFmxXULKaUDBykAQT4w
shows that the effect of limb crossing on tactile judgments (e.g. which of 2 stim came first) depends on whether stim are on that part of the limb that is crossed (e.g. hand) or not (e.g. shoulder).
by @elena_azan
shows that the effect of limb crossing on tactile judgments (e.g. which of 2 stim came first) depends on whether stim are on that part of the limb that is crossed (e.g. hand) or not (e.g. shoulder).
by @elena_azan
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Krüger, M., & Hermsdörfer, J. (2019). Target Uncertainty During Motor Decision-Making: The Time Course of Movement Variability Reveals the Effect of Different Sources of Uncertainty on the Control of Reaching Movements. Frontiers in Psychology, 10. https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00041
https://twitter.com/heedlab/status/1577924601870516226?s=61&t=sQckFmxXULKaUDBykAQT4w
looks at movement variability within conditions (<=> averaged trajectory diffs); finds variability diffs when a single target vs. a target plus a non-target are presented - speaks for ongoing (“embodied”) decision during movement execution
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Gale, D. J., Flanagan, J. R., & Gallivan, J. P. (2021). Human Somatosensory Cortex Is Modulated during Motor Planning. Journal of Neuroscience, 41(27), 5909–5922. https://doi.org/10.1523/JNEUROSCI.0342-21.2021
looks at movement variability within conditions (<=> averaged trajectory diffs); finds variability diffs when a single target vs. a target plus a non-target are presented - speaks for ongoing (“embodied”) decision during movement execution
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Gale, D. J., Flanagan, J. R., & Gallivan, J. P. (2021). Human Somatosensory Cortex Is Modulated during Motor Planning. Journal of Neuroscience, 41(27), 5909–5922. https://doi.org/10.1523/JNEUROSCI.0342-21.2021
S1 is sensitive to movement plans PRIOR to movement.
Supports theories of efference copy - though other explanations exist. Very interesting discussion.
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Sen, U., & Gredebäck, G. (2022). Learning limb-specific contingencies in early infancy. Infancy, 27(6), 1116–1131. https://doi.org/10.1111/infa.12506
Supports theories of efference copy - though other explanations exist. Very interesting discussion.
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Sen, U., & Gredebäck, G. (2022). Learning limb-specific contingencies in early infancy. Infancy, 27(6), 1116–1131. https://doi.org/10.1111/infa.12506
repeats the famous Rovee exp where babies learn to move a mobile yoked to a limb. They replicate with N=76 (half exp/control) that 4 mo-old babies move more when they control the mobile, but they move ALL limbs, not just the “correct” foot.
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Raciti, D., Yook, K., Harris, T. W., Schedl, T., & Sternberg, P. W. (2018). Micropublication: Incentivizing community curation and placing unpublished data into the public domain. Database, 2018, bay013. https://doi.org/10.1093/database/bay013
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Raciti, D., Yook, K., Harris, T. W., Schedl, T., & Sternberg, P. W. (2018). Micropublication: Incentivizing community curation and placing unpublished data into the public domain. Database, 2018, bay013. https://doi.org/10.1093/database/bay013
https://twitter.com/heedlab/status/1575387474544697344?s=61&t=-lFent7XkDJNZwKY6pL4_A
reports on http://micropublication.org which allows publishing small datasets/results.
Focused on biological data, doesn’t contain neurophys/electrophys human data although tags exist.
I like the idea of being able to publish otherwise orphaned data.
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Girault, J.-A. (2022). Plea for a Simple But Radical Change in Scientific Publication: To Improve Openness, Reliability, and Reproducibility, Let’s Deposit and Validate Our Results before Writing Articles. ENeuro, 9(5). https://doi.org/10.1523/ENEURO.0318-22.2022
reports on http://micropublication.org which allows publishing small datasets/results.
Focused on biological data, doesn’t contain neurophys/electrophys human data although tags exist.
I like the idea of being able to publish otherwise orphaned data.
118
Girault, J.-A. (2022). Plea for a Simple But Radical Change in Scientific Publication: To Improve Openness, Reliability, and Reproducibility, Let’s Deposit and Validate Our Results before Writing Articles. ENeuro, 9(5). https://doi.org/10.1523/ENEURO.0318-22.2022
https://twitter.com/heedlab/status/1575376785721593856?s=61&t=-lFent7XkDJNZwKY6pL4_A
proposes independent publication of dataset+methods+statistics prior to submitting papers. Papers could be based on one or more such datasets.
The proposal sounds like it would bring science heaven as a result by ways of hellish efforts ;)
(1/ 4)
There’s no question data accessibility must change. Data repositories are already used by many. Publishing datasets separately would allow giving credit and separate this costly and effortful work from publication gatekeeping.
(2/ 4)
I suspect that psychology might find it harder to do such a thing, as meticulous lab notebooks that can be easily transferred to a published dataset are probably less common than in biology.
(3/ 4)
As most other initiatives that attempt to improve scientific reporting (e.g. preregistration, registered reporting), it seems all solutions to the current “crisis” will require massive slow-down of scientific result production.
(end)
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Crollen, V., Lazzouni, L., Rezk, M., Bellemare, A., Lepore, F., & Collignon, O. (2017). Visual Experience Shapes the Neural Networks Remapping Touch into External Space. Journal of Neuroscience, 37(42), 10097–10103. https://doi.org/10.1523/JNEUROSCI.1213-17.2017
proposes independent publication of dataset+methods+statistics prior to submitting papers. Papers could be based on one or more such datasets.
The proposal sounds like it would bring science heaven as a result by ways of hellish efforts ;)
(1/ 4)
There’s no question data accessibility must change. Data repositories are already used by many. Publishing datasets separately would allow giving credit and separate this costly and effortful work from publication gatekeeping.
(2/ 4)
I suspect that psychology might find it harder to do such a thing, as meticulous lab notebooks that can be easily transferred to a published dataset are probably less common than in biology.
(3/ 4)
As most other initiatives that attempt to improve scientific reporting (e.g. preregistration, registered reporting), it seems all solutions to the current “crisis” will require massive slow-down of scientific result production.
(end)
117
Crollen, V., Lazzouni, L., Rezk, M., Bellemare, A., Lepore, F., & Collignon, O. (2017). Visual Experience Shapes the Neural Networks Remapping Touch into External Space. Journal of Neuroscience, 37(42), 10097–10103. https://doi.org/10.1523/JNEUROSCI.1213-17.2017
https://twitter.com/heedlab/status/1575022152864223233?s=61&t=-lFent7XkDJNZwKY6pL4_A
tactile TOJ in sighted+blind. Hand crossing modulates fronto-parietal connectivity in the blind, which might explain their lack of crossing effects (i.e. would be an ability rather than lack…)
very interesting discussion
by @CollignonOlivi1
tactile TOJ in sighted+blind. Hand crossing modulates fronto-parietal connectivity in the blind, which might explain their lack of crossing effects (i.e. would be an ability rather than lack…)
very interesting discussion
by @CollignonOlivi1
116
Pescara, E., Stubenbord, A., Röddiger, T., Fang, L., & Beigl, M. (2021). Where Should I Look? Comparing Reference Frames for Spatial Tactile Cues. 2021 International Symposium on Wearable Computers, 68–72. https://doi.org/10.1145/3460421.3478822
https://twitter.com/heedlab/status/1575009374048862209?s=61&t=-lFent7XkDJNZwKY6pL4_A
some applied research: location of wrist stimulation is easier to report with allocentric cues (=when arm rotates stim stays at same location in space => different loc on arm) than anatomical. Task= move cursor on touch screen = allocentric/vis
115
Abdulrabba, S., Tremblay, L., & Manson, G. A. (2022). Investigating the online control of goal-directed actions to a tactile target on the body. Experimental Brain Research. https://doi.org/10.1007/s00221-022-06445-0
some applied research: location of wrist stimulation is easier to report with allocentric cues (=when arm rotates stim stays at same location in space => different loc on arm) than anatomical. Task= move cursor on touch screen = allocentric/vis
115
Abdulrabba, S., Tremblay, L., & Manson, G. A. (2022). Investigating the online control of goal-directed actions to a tactile target on the body. Experimental Brain Research. https://doi.org/10.1007/s00221-022-06445-0
https://twitter.com/heedlab/status/1570446849743683586?s=61&t=-lFent7XkDJNZwKY6pL4_A
compares reach corrections of displaced visual and tactile targets (touch: no change in proprioception).
Similar correction latency but earlier detection in touch => likely additional processing in touch.
Fits well with Brandes & Heed 2015.
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Schönbrodt, F., Gärtner, A., Frank, M., Gollwitzer, M., Ihle, M., Mischkowski, D., Phan, L. V., Schmitt, M., Scheel, A. M., Schubert, A.-L., Steinberg, U., & Leising, D. (2022). Responsible Research Assessment I: Implementing DORA for hiring and promotion in psychology. PsychArchives. https://psycharchives.org/en/item/dca8878a-1f6a-4599-abe0-16134b4b7f64
compares reach corrections of displaced visual and tactile targets (touch: no change in proprioception).
Similar correction latency but earlier detection in touch => likely additional processing in touch.
Fits well with Brandes & Heed 2015.
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Schönbrodt, F., Gärtner, A., Frank, M., Gollwitzer, M., Ihle, M., Mischkowski, D., Phan, L. V., Schmitt, M., Scheel, A. M., Schubert, A.-L., Steinberg, U., & Leising, D. (2022). Responsible Research Assessment I: Implementing DORA for hiring and promotion in psychology. PsychArchives. https://psycharchives.org/en/item/dca8878a-1f6a-4599-abe0-16134b4b7f64
https://twitter.com/heedlab/status/1569944246420914178?s=61&t=-lFent7XkDJNZwKY6pL4_A
makes suggestions for hiring in psychology better than counting IF and # of papers.
Suggestion: assess quality (=>activity), impact (=>progress), and quantity (=>efficiency).
Many questions&problems remain but we need to get started…
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So, N., & Shadlen, M. N. (2022). Decision formation in parietal cortex transcends a fixed frame of reference. Neuron, S089662732200664X. https://doi.org/10.1016/j.neuron.2022.07.019
makes suggestions for hiring in psychology better than counting IF and # of papers.
Suggestion: assess quality (=>activity), impact (=>progress), and quantity (=>efficiency).
Many questions&problems remain but we need to get started…
113
So, N., & Shadlen, M. N. (2022). Decision formation in parietal cortex transcends a fixed frame of reference. Neuron, S089662732200664X. https://doi.org/10.1016/j.neuron.2022.07.019
https://twitter.com/heedlab/status/1569583942176489473?s=61&t=-lFent7XkDJNZwKY6pL4_A
really exciting study and very stimulating intro/discussion about transfer of evidence accumulation among LIP neurons when saccades “displace” targets relative to an eye-centered reference frame.
Evidence acc “moves” between neurons. Fascinating.
112
Gaveau, V., Coudert, A., Salemme, R., Koun, E., Desoche, C., Truy, E., Farnè, A., & Pavani, F. (2022). Benefits of active listening during 3D sound localization. Experimental Brain Research. https://doi.org/10.1007/s00221-022-06456-x
really exciting study and very stimulating intro/discussion about transfer of evidence accumulation among LIP neurons when saccades “displace” targets relative to an eye-centered reference frame.
Evidence acc “moves” between neurons. Fascinating.
112
Gaveau, V., Coudert, A., Salemme, R., Koun, E., Desoche, C., Truy, E., Farnè, A., & Pavani, F. (2022). Benefits of active listening during 3D sound localization. Experimental Brain Research. https://doi.org/10.1007/s00221-022-06456-x
https://twitter.com/HeedLab/status/1569249372344295431
uses a real sound source with VR/HMD to assess the benefit of active listening (=head movement) to sound localization.
Very readable paper.
Result: positive effects of head mov only for sound in front space, only elevation+azimuth not distance
111
van Rooij, I., & Baggio, G. (2021). Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science. Perspectives on Psychological Science, 16(4), 682–697. https://doi.org/10.1177/1745691620970604
uses a real sound source with VR/HMD to assess the benefit of active listening (=head movement) to sound localization.
Very readable paper.
Result: positive effects of head mov only for sound in front space, only elevation+azimuth not distance
111
van Rooij, I., & Baggio, G. (2021). Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science. Perspectives on Psychological Science, 16(4), 682–697. https://doi.org/10.1177/1745691620970604
https://twitter.com/heedlab/status/1555145561174687745?s=61&t=-lFent7XkDJNZwKY6pL4_A
argues that psychology should dedicate itself to develop formalized theory rather than running after effects. Theories are about capacities, not effects.
In Marr’s 3-level-theory, effects could be located in any of the 3 levels.
110
Haines, N., Kvam, P. D., Irving, L. H., Smith, C., Beauchaine, T. P., Pitt, M. A., Ahn, W.-Y., & Turner, B. M. (2020). Theoretically Informed Generative Models Can Advance the Psychological and Brain Sciences: Lessons from the Reliability Paradox. PsyArXiv. https://doi.org/10.31234/osf.io/xr7y3
argues that psychology should dedicate itself to develop formalized theory rather than running after effects. Theories are about capacities, not effects.
In Marr’s 3-level-theory, effects could be located in any of the 3 levels.
110
Haines, N., Kvam, P. D., Irving, L. H., Smith, C., Beauchaine, T. P., Pitt, M. A., Ahn, W.-Y., & Turner, B. M. (2020). Theoretically Informed Generative Models Can Advance the Psychological and Brain Sciences: Lessons from the Reliability Paradox. PsyArXiv. https://doi.org/10.31234/osf.io/xr7y3
https://twitter.com/heedlab/status/1554475526332489729?s=61&t=-lFent7XkDJNZwKY6pL4_A
deals with same problem as paper 109 & suggests that using hierarchical generative models - here exemplified as a shifted lognormal with a population prior for the exp effect (which implements shrinkage) can strongly improve reliability estimates
109
Haines, N., Kvam, P. D., Irving, L. H., Smith, C., Beauchaine, T. P., Pitt, M. A., Ahn, W.-Y., & Turner, B. M. (2020). Theoretically Informed Generative Models Can Advance the Psychological and Brain Sciences: Lessons from the Reliability Paradox. PsyArXiv. https://doi.org/10.31234/osf.io/xr7y3
deals with same problem as paper 109 & suggests that using hierarchical generative models - here exemplified as a shifted lognormal with a population prior for the exp effect (which implements shrinkage) can strongly improve reliability estimates
109
Haines, N., Kvam, P. D., Irving, L. H., Smith, C., Beauchaine, T. P., Pitt, M. A., Ahn, W.-Y., & Turner, B. M. (2020). Theoretically Informed Generative Models Can Advance the Psychological and Brain Sciences: Lessons from the Reliability Paradox. PsyArXiv. https://doi.org/10.31234/osf.io/xr7y3
https://twitter.com/heedlab/status/1554474455778344960?s=61&t=-lFent7XkDJNZwKY6pL4_A
reports that correlations across experimental tasks cannot be satisfactorily recovered even with trial-level models (LMM). This is because trial-level noise is ~7x higher than experimental condition effects.
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Maceira-Elvira, P., Timmermann, J. E., Popa, T., Schmid, A.-C., Krakauer, J. W., Morishita, T., Wessel, M. J., & Hummel, F. C. (2022). Dissecting motor skill acquisition: Spatial coordinates take precedence. Science Advances, 8(29), eabo3505. https://doi.org/10.1126/sciadv.abo3505
reports that correlations across experimental tasks cannot be satisfactorily recovered even with trial-level models (LMM). This is because trial-level noise is ~7x higher than experimental condition effects.
108
Maceira-Elvira, P., Timmermann, J. E., Popa, T., Schmid, A.-C., Krakauer, J. W., Morishita, T., Wessel, M. J., & Hummel, F. C. (2022). Dissecting motor skill acquisition: Spatial coordinates take precedence. Science Advances, 8(29), eabo3505. https://doi.org/10.1126/sciadv.abo3505
https://twitter.com/heedlab/status/1552990056318701569?s=61&t=-lFent7XkDJNZwKY6pL4_A
dissociates temporal aspects of finger tapping sequences (= chunking), from spatial aspects (= tapping sequence) by comparing young and old participants plus effects of aTCDS on both groups.
107
Li, Y., Wang, Y., & Cui, H. (2022). Posterior parietal cortex predicts upcoming movement in dynamic sensorimotor control. Proceedings of the National Academy of Sciences, 119(13), e2118903119. https://doi.org/10.1073/pnas.2118903119
dissociates temporal aspects of finger tapping sequences (= chunking), from spatial aspects (= tapping sequence) by comparing young and old participants plus effects of aTCDS on both groups.
107
Li, Y., Wang, Y., & Cui, H. (2022). Posterior parietal cortex predicts upcoming movement in dynamic sensorimotor control. Proceedings of the National Academy of Sciences, 119(13), e2118903119. https://doi.org/10.1073/pnas.2118903119
https://twitter.com/heedlab/status/1552630616373579781?s=61&t=-lFent7XkDJNZwKY6pL4_A
neurons in PPC area 7a, and also (but less strongly) are tuned to reach direction, not target location, during a visual target interception task that dissociates visual vs. motor processing via different target speeds
106
Gherri, E., Xu, A., Ambron, E., & Sedda, A. (2022). Peripersonal space around the upper and the lower limbs. Experimental Brain Research. https://doi.org/10.1007/s00221-022-06387-7
neurons in PPC area 7a, and also (but less strongly) are tuned to reach direction, not target location, during a visual target interception task that dissociates visual vs. motor processing via different target speeds
106
Gherri, E., Xu, A., Ambron, E., & Sedda, A. (2022). Peripersonal space around the upper and the lower limbs. Experimental Brain Research. https://doi.org/10.1007/s00221-022-06387-7
https://twitter.com/heedlab/status/1552265745744158727?s=61&t=-lFent7XkDJNZwKY6pL4_A
shows that the way our cognitive system processes peripersonal space is probably different between upper and lower limbs. Makes sense from an action point of view (though this paper doesn’t test that idea)
105
Rolls, E. T., Deco, G., Huang, C.-C., & Feng, J. (2022). The human posterior parietal cortex: Effective connectome, and its relation to function. Cerebral Cortex, bhac266. https://doi.org/10.1093/cercor/bhac266
shows that the way our cognitive system processes peripersonal space is probably different between upper and lower limbs. Makes sense from an action point of view (though this paper doesn’t test that idea)
105
Rolls, E. T., Deco, G., Huang, C.-C., & Feng, J. (2022). The human posterior parietal cortex: Effective connectome, and its relation to function. Cerebral Cortex, bhac266. https://doi.org/10.1093/cercor/bhac266
https://twitter.com/heedlab/status/1551938845704323076?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 105
fascinating connectivity analysis of 21 PPC regions with the rest of the brain - resting state, DTI, and a new time-directed effective connectivity measure.
One of those “too much for 1 day” papers with lots of interesting ideas in it
104
Moharramipour, A., Takahashi, T., & Kitazawa, S. (2022). Distinctive modes of cortical communications in tactile temporal order judgment. Cerebral Cortex, bhac255. https://doi.org/10.1093/cercor/bhac255
paper 105
fascinating connectivity analysis of 21 PPC regions with the rest of the brain - resting state, DTI, and a new time-directed effective connectivity measure.
One of those “too much for 1 day” papers with lots of interesting ideas in it
104
Moharramipour, A., Takahashi, T., & Kitazawa, S. (2022). Distinctive modes of cortical communications in tactile temporal order judgment. Cerebral Cortex, bhac255. https://doi.org/10.1093/cercor/bhac255
https://twitter.com/heedlab/status/1551924341524291584?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 104
@moharramipour et al report that correct judgment of tactile temporal order with crossed hands relies on connectivity in the beta range. People with many errors, and diff of correct/incorr trials within-subj rely on theta connectivity
103
Yoshioka, T., Dillon, M. R., Beck, G. C., Rapp, B., & Landau, B. (2013). Tactile Localization on Digits and Hand: Structure and Development. Psychological Science, 24(9), 1653–1663. https://doi.org/10.1177/0956797613478617
paper 104
@moharramipour et al report that correct judgment of tactile temporal order with crossed hands relies on connectivity in the beta range. People with many errors, and diff of correct/incorr trials within-subj rely on theta connectivity
103
Yoshioka, T., Dillon, M. R., Beck, G. C., Rapp, B., & Landau, B. (2013). Tactile Localization on Digits and Hand: Structure and Development. Psychological Science, 24(9), 1653–1663. https://doi.org/10.1177/0956797613478617
https://twitter.com/heedlab/status/1550496962851512320?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 103
children localize tactile stimuli on the hand (pointing with other hand) as precisely as adults only in adolescence, but there is a steep learning curve at age 4/6. Also, humans make one-over errors about the stimulated finger, more so when young
102
Bakkum, A., & Marigold, D. S. (2022). Learning from the Physical Consequences of Our Actions Improves Motor Memory. Eneuro, 9(3), ENEURO.0459-21.2022. https://doi.org/10.1523/ENEURO.0459-21.2022
paper 103
children localize tactile stimuli on the hand (pointing with other hand) as precisely as adults only in adolescence, but there is a steep learning curve at age 4/6. Also, humans make one-over errors about the stimulated finger, more so when young
102
Bakkum, A., & Marigold, D. S. (2022). Learning from the Physical Consequences of Our Actions Improves Motor Memory. Eneuro, 9(3), ENEURO.0459-21.2022. https://doi.org/10.1523/ENEURO.0459-21.2022
https://twitter.com/heedlab/status/1550027459705323520?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 102
by @AmandaBakkum & @SMNLab
shows that real physical, threatening consequences in walking visuomotor adaptation result in similar in adaptation learning but greater generalization across tasks and re-adaptation 1 week later
cool design
101
Dimitriou, M. (2022). Human muscle spindles are wired to function as controllable signal-processing devices. ELife, 11, e78091. https://doi.org/10.7554/eLife.78091
paper 102
by @AmandaBakkum & @SMNLab
shows that real physical, threatening consequences in walking visuomotor adaptation result in similar in adaptation learning but greater generalization across tasks and re-adaptation 1 week later
cool design
101
Dimitriou, M. (2022). Human muscle spindles are wired to function as controllable signal-processing devices. ELife, 11, e78091. https://doi.org/10.7554/eLife.78091
https://twitter.com/heedlab/status/1549706462527733760?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 101
on new ideas about the role of muscle spindles as peripheral coordinate transformators and predictive coders rather than posture signalers - very interesting and very readable review paper
100
Ede, F. van, Chekroud, S. R., Stokes, M. G., & Nobre, A. C. (2019). Concurrent visual and motor selection during visual working memory guided action. Nature Neuroscience, 1. https://doi.org/10.1038/s41593-018-0335-6
paper 101
on new ideas about the role of muscle spindles as peripheral coordinate transformators and predictive coders rather than posture signalers - very interesting and very readable review paper
100
Ede, F. van, Chekroud, S. R., Stokes, M. G., & Nobre, A. C. (2019). Concurrent visual and motor selection during visual working memory guided action. Nature Neuroscience, 1. https://doi.org/10.1038/s41593-018-0335-6
https://twitter.com/heedlab/status/1542405358609731585?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 100
shows concurrent activation of sensory and motor information in a stimulus-free working memory trial phase, refuting serial input-cognition-output processing ideas.
99
Shore, D. I., & Simic, N. (2005). Integration of visual and tactile stimuli: Top-down influences require time. Experimental Brain Research, 166(3–4), 509–517. https://doi.org/10.1007/s00221-005-2391-x
paper 100
shows concurrent activation of sensory and motor information in a stimulus-free working memory trial phase, refuting serial input-cognition-output processing ideas.
99
Shore, D. I., & Simic, N. (2005). Integration of visual and tactile stimuli: Top-down influences require time. Experimental Brain Research, 166(3–4), 509–517. https://doi.org/10.1007/s00221-005-2391-x
https://twitter.com/heedlab/status/1542055114910859264?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 99
crossmodal congruency effect (= modulation of RT/accuracy of tactile spatial responses by visual distractors) is hardly affected by % (in)congruent trials - slight eff on accuracy when tact/vis are separated by longer SOA
98
Hommel, B., Müsseler, J., Aschersleben, G., & Prinz, W. (2001). The Theory of Event Coding (TEC): A framework for perception and action planning. Behavioral and Brain Sciences, 24(5), 849–878. https://doi.org/10.1017/S0140525X01000103
paper 99
crossmodal congruency effect (= modulation of RT/accuracy of tactile spatial responses by visual distractors) is hardly affected by % (in)congruent trials - slight eff on accuracy when tact/vis are separated by longer SOA
98
Hommel, B., Müsseler, J., Aschersleben, G., & Prinz, W. (2001). The Theory of Event Coding (TEC): A framework for perception and action planning. Behavioral and Brain Sciences, 24(5), 849–878. https://doi.org/10.1017/S0140525X01000103
https://twitter.com/heedlab/status/1542055013719150593?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 98
been busy with this landmark paper on common coding for perception and action - lots of things to consider, and still not done with it.
97
Rubichi, S., Nicoletti, R., & Umiltà, C. (2005). Right-left prevalence with task-irrelevant spatial codes. Psychological Research, 69(3), 167–178. https://doi.org/10.1007/s00426-003-0168-z
paper 98
been busy with this landmark paper on common coding for perception and action - lots of things to consider, and still not done with it.
97
Rubichi, S., Nicoletti, R., & Umiltà, C. (2005). Right-left prevalence with task-irrelevant spatial codes. Psychological Research, 69(3), 167–178. https://doi.org/10.1007/s00426-003-0168-z
https://twitter.com/heedlab/status/1539255295934967810?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 97
Simon effects for visual stimuli with L/R + up/down positions, with responses given by hands and feet. Evidence for multiple L/R codes, but only a single up/down code as causes for the observed RT effects.
96
Bencivenga, F., Tullo, M. G., Maltempo, T., von Gal, A., Serra, C., Pitzalis, S., & Galati, G. (2022). Effector-selective modulation of the effective connectivity within frontoparietal circuits during visuomotor tasks. Cerebral Cortex, bhac223. https://doi.org/10.1093/cercor/bhac223
paper 97
Simon effects for visual stimuli with L/R + up/down positions, with responses given by hands and feet. Evidence for multiple L/R codes, but only a single up/down code as causes for the observed RT effects.
96
Bencivenga, F., Tullo, M. G., Maltempo, T., von Gal, A., Serra, C., Pitzalis, S., & Galati, G. (2022). Effector-selective modulation of the effective connectivity within frontoparietal circuits during visuomotor tasks. Cerebral Cortex, bhac223. https://doi.org/10.1093/cercor/bhac223
https://twitter.com/heedlab/status/1538796595487154176?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 96
very thorough study on saccades vs. hand+foot pointing: volume+surface based activation, resting state, DCM model.
Very impressive work.
Suggests human MIP/LIP homologues.
Interestingly, little diff for hand/foot in PPC except for connecitivity
95
Klapp, S. T., Greim, D. M., Mendicino, C. M., & Koenig, R. S. (1979). Anatomic and environmental dimensions of stimulus-response compatibility: Implication for theories of memory coding. Acta Psychologica, 43(5), 367–379. https://doi.org/10.1016/0001-6918(79)90031-3
paper 96
very thorough study on saccades vs. hand+foot pointing: volume+surface based activation, resting state, DCM model.
Very impressive work.
Suggests human MIP/LIP homologues.
Interestingly, little diff for hand/foot in PPC except for connecitivity
95
Klapp, S. T., Greim, D. M., Mendicino, C. M., & Koenig, R. S. (1979). Anatomic and environmental dimensions of stimulus-response compatibility: Implication for theories of memory coding. Acta Psychologica, 43(5), 367–379. https://doi.org/10.1016/0001-6918(79)90031-3
https://twitter.com/heedlab/status/1537742220316524549?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 95
has a *single* R button for left and right thumb but finds L/R compatibility effects with R-hand *location* when crossed!
But: hands up/down creates strong compatibility effect with L/R visual S and responding *hand’s body side*.
94
Wallace, R. J. (1972). Spatial SR compatibility effects involving kinesthetic cues. Journal of Experimental Psychology, 93(1), 163. https://psycnet.apa.org/doi/10.1037/h0032462
paper 95
has a *single* R button for left and right thumb but finds L/R compatibility effects with R-hand *location* when crossed!
But: hands up/down creates strong compatibility effect with L/R visual S and responding *hand’s body side*.
94
Wallace, R. J. (1972). Spatial SR compatibility effects involving kinesthetic cues. Journal of Experimental Psychology, 93(1), 163. https://psycnet.apa.org/doi/10.1037/h0032462
https://twitter.com/heedlab/status/1536989972183531522?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 94
follows up on paper 93 to show that S-R button loc compatibility effects occur also when the hands are never visible (participants are even seated with blindfold, hands placed passively).
Thus, these are not vis-vis compatibility effects.
93
Wallace, R. J. (1971). SR compatibility and the idea of a response code. Journal of Experimental Psychology, 88(3), 354. https://psycnet.apa.org/doi/10.1037/h0030892
paper 94
follows up on paper 93 to show that S-R button loc compatibility effects occur also when the hands are never visible (participants are even seated with blindfold, hands placed passively).
Thus, these are not vis-vis compatibility effects.
93
Wallace, R. J. (1971). SR compatibility and the idea of a response code. Journal of Experimental Psychology, 88(3), 354. https://psycnet.apa.org/doi/10.1037/h0030892
https://twitter.com/heedlab/status/1536982573922017280?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 93
visual Simon effect rather than S-R task with task-relevant S.
congruent S-R button loc facilitate, incongruent interfere with hand button press, rel to verbal R.
Hand crossing increases overall RT but does not affect compatibility effects.
92
Bradshaw, J. L., Bradshaw, J. A., Pierson-Savage, J. M., & Nettleton, N. C. (1988). Overt and covert attention and vibrotactile reaction times: Gaze direction, spatial compatibility and hemispatial asymmetry. Canadian Journal of Psychology/Revue Canadienne de Psychologie, 42(1), 44–56. https://doi.org/10.1037/h0084178
paper 93
visual Simon effect rather than S-R task with task-relevant S.
congruent S-R button loc facilitate, incongruent interfere with hand button press, rel to verbal R.
Hand crossing increases overall RT but does not affect compatibility effects.
92
Bradshaw, J. L., Bradshaw, J. A., Pierson-Savage, J. M., & Nettleton, N. C. (1988). Overt and covert attention and vibrotactile reaction times: Gaze direction, spatial compatibility and hemispatial asymmetry. Canadian Journal of Psychology/Revue Canadienne de Psychologie, 42(1), 44–56. https://doi.org/10.1037/h0084178
https://twitter.com/heedlab/status/1536258667225530368?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 92
tactile stim to L or R hand, either each hand blockwise or randomized per trial.
blockwise: RT 3ms faster in right hemispace even with crossed hands.
trialwise: 51 ms hand-response side compatibility effect
attributed to attentional processes.
91
Brebner, J., Shephard, M., & Cairney, P. (1972). Spatial relationships and SR compatibility. Acta Psychologica, 36(1), 1–15.
paper 92
tactile stim to L or R hand, either each hand blockwise or randomized per trial.
blockwise: RT 3ms faster in right hemispace even with crossed hands.
trialwise: 51 ms hand-response side compatibility effect
attributed to attentional processes.
91
Brebner, J., Shephard, M., & Cairney, P. (1972). Spatial relationships and SR compatibility. Acta Psychologica, 36(1), 1–15.
https://twitter.com/heedlab/status/1535287525429878785?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 91
disentangles S (light), R (button), and hand for L/R compatibility.
S-R and R-hand matter, S-hand does not.
Definitely true only for this spatial setup and visual S…
90
Ladavas, E., & Moscovitch, M. (1984). Must egocentric and environmental frames of reference be aligned to produce spatial S-R compatibility effects? Journal of Experimental Psychology: Human Perception and Performance, 10(2), 205–215. https://doi.org/10.1037/0096-1523.10.2.205
paper 91
disentangles S (light), R (button), and hand for L/R compatibility.
S-R and R-hand matter, S-hand does not.
Definitely true only for this spatial setup and visual S…
90
Ladavas, E., & Moscovitch, M. (1984). Must egocentric and environmental frames of reference be aligned to produce spatial S-R compatibility effects? Journal of Experimental Psychology: Human Perception and Performance, 10(2), 205–215. https://doi.org/10.1037/0096-1523.10.2.205
https://twitter.com/heedlab/status/1534915414484041730?s=61&t=-lFent7XkDJNZwKY6pL4_A
paper 90
more visual S-R effects:
vis S are L/R;
R buttons held next to head, then head tilted
=> S&R orthogonal in space
huge compatibility eff for S & hand (not R loc!). When hands crossed, STILL same effect dependent on hand (i.e. diff than paper 89!) https://t.co/FtteC63MxL
89
Riggio, L., de Gonzaga Gawryszewski, L., & Umilta, C. (1986). What is crossed in crossed-hand effects? Acta Psychologica, 62(1), 89–100. https://doi.org/10.1016/0001-6918(86)90006-5
paper 90
more visual S-R effects:
vis S are L/R;
R buttons held next to head, then head tilted
=> S&R orthogonal in space
huge compatibility eff for S & hand (not R loc!). When hands crossed, STILL same effect dependent on hand (i.e. diff than paper 89!) https://t.co/FtteC63MxL
89
Riggio, L., de Gonzaga Gawryszewski, L., & Umilta, C. (1986). What is crossed in crossed-hand effects? Acta Psychologica, 62(1), 89–100. https://doi.org/10.1016/0001-6918(86)90006-5
https://twitter.com/heedlab/status/1534452983550955520?s=61&t=-lFent7XkDJNZwKY6pL4_A
responses to R/L VISUAL stimuli with hands on their normal side, but index fingers/hand-held sticks crossed (R hand => L button +vv).
Huge compatibility effects => Response location not response hand matters for compatibility.
88
Nicoletti, R., & Umilta, C. (1985). Responding with hand and foot: The right/left prevalence in spatial compatibility is still present. Perception & Psychophysics, 38(3), 211–216. https://doi.org/10.3758/BF03207147
responses to R/L VISUAL stimuli with hands on their normal side, but index fingers/hand-held sticks crossed (R hand => L button +vv).
Huge compatibility effects => Response location not response hand matters for compatibility.
88
Nicoletti, R., & Umilta, C. (1985). Responding with hand and foot: The right/left prevalence in spatial compatibility is still present. Perception & Psychophysics, 38(3), 211–216. https://doi.org/10.3758/BF03207147
https://twitter.com/heedlab/status/1534084619162763266?s=61&t=-lFent7XkDJNZwKY6pL4_A
more visual S-R effects: does up/down (U/D) in vis S create conflict with hand/foot R?
Answer = complex + interesting:
if S has only U/D (midline S!), foot R ~50 ms faster for D S, hand for U S.
if S has U/D and L/R, only L/R conflict remains.
87
Anzola, G. P., Bertoloni, G., Buchtel, H. A., & Rizzolatti, G. (1977). Spatial compatibility and anatomical factors in simple and choice reaction time. Neuropsychologia, 15(2), 295–302.
https://www.sciencedirect.com/science/article/abs/pii/0028393277900380
more visual S-R effects: does up/down (U/D) in vis S create conflict with hand/foot R?
Answer = complex + interesting:
if S has only U/D (midline S!), foot R ~50 ms faster for D S, hand for U S.
if S has U/D and L/R, only L/R conflict remains.
87
Anzola, G. P., Bertoloni, G., Buchtel, H. A., & Rizzolatti, G. (1977). Spatial compatibility and anatomical factors in simple and choice reaction time. Neuropsychologia, 15(2), 295–302.
https://www.sciencedirect.com/science/article/abs/pii/0028393277900380
https://twitter.com/heedlab/status/1532623519049306112?s=61&t=-lFent7XkDJNZwKY6pL4_A
S-R compatibility effects for VISUAL stimuli when hands are uncrossed (II) vs. crossed (X). S-R comp is 2x as high with II than X hands. Paper simply concludes “spatial compatibility”, ignoring the II/X diff.
86
Medina, J., McCloskey, M., Coslett, H. B., & Rapp, B. (2014). Somatotopic Representation of Location: Evidence From the Simon Effect. Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/a0037975
S-R compatibility effects for VISUAL stimuli when hands are uncrossed (II) vs. crossed (X). S-R comp is 2x as high with II than X hands. Paper simply concludes “spatial compatibility”, ignoring the II/X diff.
86
Medina, J., McCloskey, M., Coslett, H. B., & Rapp, B. (2014). Somatotopic Representation of Location: Evidence From the Simon Effect. Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/a0037975
https://twitter.com/heedlab/status/1531927080920825856?s=61&t=-lFent7XkDJNZwKY6pL4_A
re-reading this great study by @ProfJaredMedina
re-reading this great study by @ProfJaredMedina
– showed strong anatomical/somatotopic tactile Simon effects - baffling back then b/c everyone always showed external/spatial tactile coding. But fits really well with our newer findings
85
Hoopen, G. ten, Akerboom, S., & Raaymakers, E. (1982). Vibrotactual choice reaction time, tactile receptor systems and ideomotor compatibility. Acta Psychologica, 50(2), 143–157. https://doi.org/10.1016/0001-6918(82)90004-X
https://twitter.com/heedlab/status/1531545073393053696?s=61&t=-lFent7XkDJNZwKY6pL4_A
scrutinizes paper 84 and shows that those former results strongly (!) depend on tactile stim frequency & intensity. Gives interesting explanation involving optimal frequencies + general sensitivcity of Meissner vs. Pacinian corpuscles
84
Leonard, J. A. (1959). Tactual choice reactions: I. Quarterly Journal of Experimental Psychology, 11(2), 76–83. https://doi.org/10.1080/17470215908416294
scrutinizes paper 84 and shows that those former results strongly (!) depend on tactile stim frequency & intensity. Gives interesting explanation involving optimal frequencies + general sensitivcity of Meissner vs. Pacinian corpuscles
84
Leonard, J. A. (1959). Tactual choice reactions: I. Quarterly Journal of Experimental Psychology, 11(2), 76–83. https://doi.org/10.1080/17470215908416294
https://twitter.com/heedlab/status/1531544505769500674?s=61&t=-lFent7XkDJNZwKY6pL4_A
finds that RT increases from responses to 1 stim to 1 finger to multiple stim-finger responses, but not from 2 to 4 to 8 choices (stim and responding finger always match). Explained as "highly compatible S-R compatibility mapping"
83
Broadbent, D. E., & Gregory, M. (1962). Donders’ B- and C-reactions and S-R compatibility. Journal of Experimental Psychology, 63(6), 575–578. https://doi.org/10.1037/h0044674
finds that RT increases from responses to 1 stim to 1 finger to multiple stim-finger responses, but not from 2 to 4 to 8 choices (stim and responding finger always match). Explained as "highly compatible S-R compatibility mapping"
83
Broadbent, D. E., & Gregory, M. (1962). Donders’ B- and C-reactions and S-R compatibility. Journal of Experimental Psychology, 63(6), 575–578. https://doi.org/10.1037/h0044674
https://twitter.com/heedlab/status/1531262835107500034?s=61&t=-lFent7XkDJNZwKY6pL4_A
I start delving into some old stuff on S-R compatibility.
Pro vs anti-task (left finger responds to right tap & vv) => RT 193 vs 300 ms - massive. Surprisingly (to me), go/nogo (i.e. single response) 255 vs. 194 ms if R is with other hand than S
82
Publishing in transition – do we still need scientific journals? (2015). ScienceOpen Research. https://doi.org/10.14293/S2199-1006.1.SOR-SOCSCI.ACKE0Y.v1
I start delving into some old stuff on S-R compatibility.
Pro vs anti-task (left finger responds to right tap & vv) => RT 193 vs 300 ms - massive. Surprisingly (to me), go/nogo (i.e. single response) 255 vs. 194 ms if R is with other hand than S
82
Publishing in transition – do we still need scientific journals? (2015). ScienceOpen Research. https://doi.org/10.14293/S2199-1006.1.SOR-SOCSCI.ACKE0Y.v1
https://twitter.com/heedlab/status/1529480346798018560?s=61&t=-lFent7XkDJNZwKY6pL4_A
is a short rationale for http://scienceopen.com
obviously good ideas, though the platform looks a bit old-school ;)
81
Cao, R. (2020). New Labels for Old Ideas: Predictive Processing and the Interpretation of Neural Signals. Review of Philosophy and Psychology, 11(3), 517–546. https://doi.org/10.1007/s13164-020-00481-x
is a short rationale for http://scienceopen.com
obviously good ideas, though the platform looks a bit old-school ;)
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Cao, R. (2020). New Labels for Old Ideas: Predictive Processing and the Interpretation of Neural Signals. Review of Philosophy and Psychology, 11(3), 517–546. https://doi.org/10.1007/s13164-020-00481-x
https://twitter.com/heedlab/status/1529414371885162498?s=61&t=-lFent7XkDJNZwKY6pL4_A
argues that predictive processing models can always be re-formulated as “traditional” bottom-up/top-down models, and so they provide new labels for old ideas.
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Pletzer, B., Harris, T.-A., Scheuringer, A., & Hidalgo-Lopez, E. (2019). The cycling brain: Menstrual cycle related fluctuations in hippocampal and fronto-striatal activation and connectivity during cognitive tasks. Neuropsychopharmacology, 44(11), Article 11. https://doi.org/10.1038/s41386-019-0435-3
argues that predictive processing models can always be re-formulated as “traditional” bottom-up/top-down models, and so they provide new labels for old ideas.
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Pletzer, B., Harris, T.-A., Scheuringer, A., & Hidalgo-Lopez, E. (2019). The cycling brain: Menstrual cycle related fluctuations in hippocampal and fronto-striatal activation and connectivity during cognitive tasks. Neuropsychopharmacology, 44(11), Article 11. https://doi.org/10.1038/s41386-019-0435-3
https://twitter.com/heedlab/status/1527539392826458113?s=61&t=-lFent7XkDJNZwKY6pL4_A
data of paper 79, but focus on effects of estradiol & progesterone across menstrual cycle in spatial nav vs. verbal tasks.
Effects are similar across tasks, and not due to cognitive strategy. Strategy instead related to connectivity patterns.
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Noachtar, I., Harris, T.-A., Hidalgo-Lopez, E., & Pletzer, B. (2022). Sex and strategy effects on brain activation during a 3D-navigation task. Communications Biology, 5(1), Article 1. https://doi.org/10.1038/s42003-022-03147-9
data of paper 79, but focus on effects of estradiol & progesterone across menstrual cycle in spatial nav vs. verbal tasks.
Effects are similar across tasks, and not due to cognitive strategy. Strategy instead related to connectivity patterns.
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Noachtar, I., Harris, T.-A., Hidalgo-Lopez, E., & Pletzer, B. (2022). Sex and strategy effects on brain activation during a 3D-navigation task. Communications Biology, 5(1), Article 1. https://doi.org/10.1038/s42003-022-03147-9
https://twitter.com/heedlab/status/1527184135105699842?s=61&t=-lFent7XkDJNZwKY6pL4_A
MRI act/connect diffs in men & women in allo/ego navigation with landmark/Euclid strategies. Network diffs were independent of these factors, so may reflect prefs in resource allocation to what is perceived as effortful.
by Belinda Pletzer et al.
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Hidalgo-Lopez, E., Zeidman, P., Harris, T., Razi, A., & Pletzer, B. (2021). Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle. Communications Biology, 4(1), Article 1. https://doi.org/10.1038/s42003-021-02447-w
MRI act/connect diffs in men & women in allo/ego navigation with landmark/Euclid strategies. Network diffs were independent of these factors, so may reflect prefs in resource allocation to what is perceived as effortful.
by Belinda Pletzer et al.
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Hidalgo-Lopez, E., Zeidman, P., Harris, T., Razi, A., & Pletzer, B. (2021). Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle. Communications Biology, 4(1), Article 1. https://doi.org/10.1038/s42003-021-02447-w
https://twitter.com/heedlab/status/1527170196762505216?s=61&t=-lFent7XkDJNZwKY6pL4_A
characterizes connectivity changes across the regular menstrual cycle. shows complex changes in lateralization and frontal-posterior connectivity, indicating high functional plasticity due to hormones.
by my colleague Belinda Pletzer et al.
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Dubol, M., Epperson, C. N., Sacher, J., Pletzer, B., Derntl, B., Lanzenberger, R., Sundström-Poromaa, I., & Comasco, E. (2021). Neuroimaging the menstrual cycle: A multimodal systematic review. Frontiers in Neuroendocrinology, 60, 100878. https://doi.org/10.1016/j.yfrne.2020.100878
characterizes connectivity changes across the regular menstrual cycle. shows complex changes in lateralization and frontal-posterior connectivity, indicating high functional plasticity due to hormones.
by my colleague Belinda Pletzer et al.
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Dubol, M., Epperson, C. N., Sacher, J., Pletzer, B., Derntl, B., Lanzenberger, R., Sundström-Poromaa, I., & Comasco, E. (2021). Neuroimaging the menstrual cycle: A multimodal systematic review. Frontiers in Neuroendocrinology, 60, 100878. https://doi.org/10.1016/j.yfrne.2020.100878
https://twitter.com/heedlab/status/1526173846415593472?s=61&t=-lFent7XkDJNZwKY6pL4_A
systematically reviews the influence of ovarian hormones in naturally cycling women (77 papers, what coincidence). Effects are reported for multiple cortical and limbic structures. Very thorough, very clear about (lack of) reliability.
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Aflalo, T., Zhang, C., Revechkis, B., Rosario, E., Pouratian, N., & Andersen, R. A. (2022). Implicit mechanisms of intention. Current Biology, 32(9), 2051-2060.e6. https://doi.org/10.1016/j.cub.2022.03.047
systematically reviews the influence of ovarian hormones in naturally cycling women (77 papers, what coincidence). Effects are reported for multiple cortical and limbic structures. Very thorough, very clear about (lack of) reliability.
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Aflalo, T., Zhang, C., Revechkis, B., Rosario, E., Pouratian, N., & Andersen, R. A. (2022). Implicit mechanisms of intention. Current Biology, 32(9), 2051-2060.e6. https://doi.org/10.1016/j.cub.2022.03.047
https://twitter.com/heedlab/status/1525071269783273473?s=61&t=-lFent7XkDJNZwKY6pL4_A
Libet’s classical experiment in human PPC single neurons – replicates pre-will motor activity, but shows that when participant decides to do the task, this creates a neural state that may be instrumental to emergence of “unconscious” movement
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Nakayama, Y., Sugawara, S. K., Fukunaga, M., Hamano, Y. H., Sadato, N., & Nishimura, Y. (2022). The dorsal premotor cortex encodes the step-by-step planning processes for goal-directed motor behavior in humans. NeuroImage, 256, 119221. https://doi.org/10.1016/j.neuroimage.2022.119221
Libet’s classical experiment in human PPC single neurons – replicates pre-will motor activity, but shows that when participant decides to do the task, this creates a neural state that may be instrumental to emergence of “unconscious” movement
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Nakayama, Y., Sugawara, S. K., Fukunaga, M., Hamano, Y. H., Sadato, N., & Nishimura, Y. (2022). The dorsal premotor cortex encodes the step-by-step planning processes for goal-directed motor behavior in humans. NeuroImage, 256, 119221. https://doi.org/10.1016/j.neuroimage.2022.119221
https://twitter.com/heedlab/status/1524635350378991616?s=61&t=-lFent7XkDJNZwKY6pL4_A
maps the different sub-tasks in mapping a goal to a motor action to distinct regions of dorsal premotor cortex and demonstrates an anterior-to-posterior gradient from “cognitive” to “motor”.
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Fuehrer, E., Voudouris, D., Lezkan, A., Drewing, K., & Fiehler, K. (2022). Tactile suppression stems from specific sensorimotor predictions. Proceedings of the National Academy of Sciences, 119(20), e2118445119. https://doi.org/10.1073/pnas.2118445119
maps the different sub-tasks in mapping a goal to a motor action to distinct regions of dorsal premotor cortex and demonstrates an anterior-to-posterior gradient from “cognitive” to “motor”.
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Fuehrer, E., Voudouris, D., Lezkan, A., Drewing, K., & Fiehler, K. (2022). Tactile suppression stems from specific sensorimotor predictions. Proceedings of the National Academy of Sciences, 119(20), e2118445119. https://doi.org/10.1073/pnas.2118445119
https://twitter.com/heedlab/status/1524292139911372801?s=61&t=-lFent7XkDJNZwKY6pL4_A
fresh off the press by Katja Fiehler’s lab - shows that tactile suppression of vibrations is stronger if a planned movement will create the same (rather than diff) vibratory freq.
Very cool paradigm, short and easy read. A fun daily paper ;)
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Filippini, M., Borra, D., Ursino, M., Magosso, E., & Fattori, P. (2022). Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks. Neural Networks, 151, 276–294. https://doi.org/10.1016/j.neunet.2022.03.044
fresh off the press by Katja Fiehler’s lab - shows that tactile suppression of vibrations is stronger if a planned movement will create the same (rather than diff) vibratory freq.
Very cool paradigm, short and easy read. A fun daily paper ;)
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Filippini, M., Borra, D., Ursino, M., Magosso, E., & Fattori, P. (2022). Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks. Neural Networks, 151, 276–294. https://doi.org/10.1016/j.neunet.2022.03.044
https://twitter.com/heedlab/status/1524284501676941312?s=61&t=-lFent7XkDJNZwKY6pL4_A
suggests that convolutional neural networks decode visual-reaching related activity (much) better than linear regression. More so in posterior areas V6A and PEc, less in PE. Fits well with Medendorp & Heed 2019 state estimation of world vs. body
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Roberts, B. W., & Yoon, H. J. (2022). Personality Psychology. Annual Review of Psychology, 73(1), 489–516. https://doi.org/10.1146/annurev-psych-020821-114927
suggests that convolutional neural networks decode visual-reaching related activity (much) better than linear regression. More so in posterior areas V6A and PEc, less in PE. Fits well with Medendorp & Heed 2019 state estimation of world vs. body
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Roberts, B. W., & Yoon, H. J. (2022). Personality Psychology. Annual Review of Psychology, 73(1), 489–516. https://doi.org/10.1146/annurev-psych-020821-114927
https://twitter.com/heedlab/status/1523603376755417088?s=61&t=-lFent7XkDJNZwKY6pL4_A
reviews the current state of personality psychology, covering traits, motivation, skills, and narrative identity.
Found this a well-readable overview that gave me interesting insight as someone from outside the field.
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Alhussein, L., & Smith, M. A. (2021). Motor planning under uncertainty. ELife, 10, e67019. https://doi.org/10.7554/eLife.67019
reviews the current state of personality psychology, covering traits, motivation, skills, and narrative identity.
Found this a well-readable overview that gave me interesting insight as someone from outside the field.
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Alhussein, L., & Smith, M. A. (2021). Motor planning under uncertainty. ELife, 10, e67019. https://doi.org/10.7554/eLife.67019
https://twitter.com/heedlab/status/1522478814726664194?s=61&t=-lFent7XkDJNZwKY6pL4_A
presents two really elegant experiments that strongly support the idea that we plan a single, performance-optimized movement rather than average multiple, parallel movement plans.
Beautiful behavioral work.
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Galvez-Pol, A., Forster, B., & Calvo-Merino, B. (2020). Beyond action observation: Neurobehavioral mechanisms of memory for visually perceived bodies and actions. Neuroscience & Biobehavioral Reviews, 116, 508–518. https://doi.org/10.1016/j.neubiorev.2020.06.014
presents two really elegant experiments that strongly support the idea that we plan a single, performance-optimized movement rather than average multiple, parallel movement plans.
Beautiful behavioral work.
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Galvez-Pol, A., Forster, B., & Calvo-Merino, B. (2020). Beyond action observation: Neurobehavioral mechanisms of memory for visually perceived bodies and actions. Neuroscience & Biobehavioral Reviews, 116, 508–518. https://doi.org/10.1016/j.neubiorev.2020.06.014
https://twitter.com/heedlab/status/1521763272856383488?s=61&t=-lFent7XkDJNZwKY6pL4_A
reviews behavioral evidence for a memory system specific to (visual) bodies. And the related neural underpinnings - which are sensorimotor.
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https://twitter.com/heedlab/status/1521480331244851205?s=61&t=-lFent7XkDJNZwKY6pL4_A
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https://twitter.com/heedlab/status/1521372706121338880?s=61&t=-lFent7XkDJNZwKY6pL4_A
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https://twitter.com/heedlab/status/1518544101934784513?s=21&t=lyeQ9QWdBTY9Q4HhmDxCpA
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https://twitter.com/heedlab/status/1517392701192384513?s=21&t=lyeQ9QWdBTY9Q4HhmDxCpA
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https://twitter.com/heedlab/status/1517035311037136896?s=21&t=p45LetRq0-UEWZTkb1Bl4w
Chandrasekaran, C. (2017). **Computational principles and models of multisensory integration.** _Current Opinion in Neurobiology_, _43_, 25–34. [https://doi.org/10.1016/j.conb.2016.11.002](https://doi.org/10.1016/j.conb.2016.11.002)
very comprehensible introduction to computational models of multisensory integration: drift diffusion, Bayesian integration, dimensionality reduction (though really just brushed over), recurrent neural networks. Nicely illustrated, too.
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https://twitter.com/heedlab/status/1516672178275688451?s=21&t=p45LetRq0-UEWZTkb1Bl4w
Luo, Y., & Zhao, J. (2021). **Attentional and perceptual biases of climate change.** _Current Opinion in Behavioral Sciences_, _42_, 22–26. [https://doi.org/10.1016/j.cobeha.2021.02.010](https://doi.org/10.1016/j.cobeha.2021.02.010)
<a href>zotero://select/library/items/XMNP65YM</a>
links political views as motivation with individual diffs in attending to climate info, perceiving climate-related risks etc.
offers some suggestions for communicating climate change, though very brief.
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https://twitter.com/heedlab/status/1516309920777388038?s=21&t=lyeQ9QWdBTY9Q4HhmDxCpA
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https://twitter.com/heedlab/status/1512324165126299659?s=21&t=lyeQ9QWdBTY9Q4HhmDxCpA
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https://twitter.com/heedlab/status/1510904985353166849?s=21&t=p45LetRq0-UEWZTkb1Bl4w
Ecker, U. K. H., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022). **The psychological drivers of misinformation belief and its resistance to correction.** _Nature Reviews Psychology_, _1_(1), 13–29. [https://doi.org/10.1038/s44159-021-00006-y](https://doi.org/10.1038/s44159-021-00006-y)
explains why we might fall for misinformation, why it’s hard to get by (it remains in memory, lack of integration of corrective info, selective retrieval), lays out social and emotional influences, and reviews results on pre- and debunking.
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skipped apparently
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https://twitter.com/heedlab/status/1480647023875575815?s=61&t=-lFent7XkDJNZwKY6pL4_A
reviews behavioral evidence for a memory system specific to (visual) bodies. And the related neural underpinnings - which are sensorimotor.
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https://twitter.com/heedlab/status/1521480331244851205?s=61&t=-lFent7XkDJNZwKY6pL4_A
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https://twitter.com/heedlab/status/1517035311037136896?s=21&t=p45LetRq0-UEWZTkb1Bl4w
Chandrasekaran, C. (2017). **Computational principles and models of multisensory integration.** _Current Opinion in Neurobiology_, _43_, 25–34. [https://doi.org/10.1016/j.conb.2016.11.002](https://doi.org/10.1016/j.conb.2016.11.002)
very comprehensible introduction to computational models of multisensory integration: drift diffusion, Bayesian integration, dimensionality reduction (though really just brushed over), recurrent neural networks. Nicely illustrated, too.
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https://twitter.com/heedlab/status/1516672178275688451?s=21&t=p45LetRq0-UEWZTkb1Bl4w
Luo, Y., & Zhao, J. (2021). **Attentional and perceptual biases of climate change.** _Current Opinion in Behavioral Sciences_, _42_, 22–26. [https://doi.org/10.1016/j.cobeha.2021.02.010](https://doi.org/10.1016/j.cobeha.2021.02.010)
<a href>zotero://select/library/items/XMNP65YM</a>
links political views as motivation with individual diffs in attending to climate info, perceiving climate-related risks etc.
offers some suggestions for communicating climate change, though very brief.
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https://twitter.com/heedlab/status/1516309920777388038?s=21&t=lyeQ9QWdBTY9Q4HhmDxCpA
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Ecker, U. K. H., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022). **The psychological drivers of misinformation belief and its resistance to correction.** _Nature Reviews Psychology_, _1_(1), 13–29. [https://doi.org/10.1038/s44159-021-00006-y](https://doi.org/10.1038/s44159-021-00006-y)
explains why we might fall for misinformation, why it’s hard to get by (it remains in memory, lack of integration of corrective info, selective retrieval), lays out social and emotional influences, and reviews results on pre- and debunking.
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