Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex

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作者
Sean E. Cavanagh
John P. Towers
Joni D. Wallis
Laurence T. Hunt
Steven W. Kennerley
机构
[1] University College London,Sobell Department of Motor Neuroscience
[2] University of California at Berkeley,Department of Psychology
[3] Helen Wills Neuroscience Institute,Max Planck
[4] University of California at Berkeley,UCL Centre for Computational Psychiatry and Aging
[5] University College London,Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry
[6] University of Oxford,undefined
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Competing accounts propose that working memory (WM) is subserved either by persistent activity in single neurons or by dynamic (time-varying) activity across a neural population. Here, we compare these hypotheses across four regions of prefrontal cortex (PFC) in an oculomotor-delayed-response task, where an intervening cue indicated the reward available for a correct saccade. WM representations were strongest in ventrolateral PFC neurons with higher intrinsic temporal stability (time-constant). At the population-level, although a stable mnemonic state was reached during the delay, this tuning geometry was reversed relative to cue-period selectivity, and was disrupted by the reward cue. Single-neuron analysis revealed many neurons switched to coding reward, rather than maintaining task-relevant spatial selectivity until saccade. These results imply WM is fulfilled by dynamic, population-level activity within high time-constant neurons. Rather than persistent activity supporting stable mnemonic representations that bridge subsequent salient stimuli, PFC neurons may stabilise a dynamic population-level process supporting WM.
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