emergence of task-dependent representations in working memory circuits

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ID: 186250
2014
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Abstract
A wealth of experimental evidence suggests that working memory circuits preferentially represent information that is behaviorally relevant. Still, we are missing a mechanistic account of how these representations come about. Here we provide a simple explanation for a range of experimental findings, in light of prefrontal circuits adapting to task constraints by reward-dependent learning. In particular, we model a neural network shaped by reward-modulated spike-timing dependent plasticity (r-STDP) and homeostatic plasticity (intrinsic excitability and synaptic scaling). We show that the experimentally-observed neural representations naturally emerge in an initially unstructured circuit as it learns to solve several working memory tasks. These results point to a critical, and previously unappreciated, role for reward-dependent learning in shaping prefrontal cortex activity.
Reference Key
esavin2014frontiersemergence Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Cristina eSavin;Cristina eSavin;Jochen eTriesch
Journal population health management
Year 2014
DOI
10.3389/fncom.2014.00057
URL
http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00057/full
Keywords
working memory prefrontal cortex stdp neuropsychiatry biological psychiatry

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