Effect of reward sequences on changes in accuracy and reaction times (RTs).

<p>(A) The change in accuracy showed an increase in all cases, but to different extents. The highest increase in accuracy was for one rewarded and one unrewarded trial (U-R and R-U), due to strengthening of the cortico-striatal projection to dSPNs of the optimal choice along with strengthening...

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Bibliographic Details
Main Author:	Jyotika Bahuguna (729510) (author)
Other Authors:	Timothy Verstynen (303622) (author), Jonathan E. Rubin (7256252) (author)
Published:	2025
Subjects:	Neuroscience Developmental Biology Science Policy Mental Health Biological Sciences not elsewhere classified Information Systems not elsewhere classified unrewarded conditions using spiking neural network increase reward rate e ., rewarded shift decision policies decision policies represents evidence accumulation process evidence accumulation model div >< p subsequently simulated learning cbgt circuits translate driven dopaminergic plasticity decision policy simulated decisions cbgt circuits yet understanding whose influence subnetworks mapping strategically modulating specific configuration simple two simple mechanism resulting behavior responsiveness </ related changes pliancy </ one optimal longstanding challenge individual trials early stages dependent shifts control ensemble computational approach complex connectivity choice task choice </ basal ganglia
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Effect of reward sequences on changes in accuracy and reaction times (RTs).

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