Network firing rates, RTs, and accuracy before plasticity.

<p>A: The distributions of average firing rates for the 9 CBGT regions based on 300 networks. An average was calculated for each population over the whole simulation time. One example each from three categories of network – fast (orange), intermediate (brown) and slow (red) – are marked on the...

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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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Network firing rates, RTs, and accuracy before plasticity.

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