Bridging the neural and algorithmic correlates of action-stopping
This paper identifies neural correlates of the go- and stop-processes in action-stopping using scalp potentials, showing how they align with the independent race model predictions.
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University of California San DiegoORCID 0000-0003-3742-3958Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
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This paper identifies neural correlates of the go- and stop-processes in action-stopping using scalp potentials, showing how they align with the independent race model predictions.
V Varsha, Atul Gopal, Sumitash Jana…·Aditya Murthy
The paper tests whether saccadic eye movements are controlled by a velocity-based internal feedback controller using optimal control models, finding that a velocity tracking model better explains velocity modulation during eye-hand coordination.
Sumitash Jana, Ricci Hannah, Vignesh Muralidharan, Adam Robert Aron
The paper identifies a temporal cascade of neural and muscular processes involved in human action-stopping, showing distinct subprocesses at different timepoints.