Neural signature of flexible coding in prefrontal cortex

被引:11
|
作者
Bocincova, Andrea [1 ]
Buschman, Timothy J. [2 ,3 ]
Stokes, Mark G. [4 ]
Manohar, Sanjay G. [1 ,4 ]
机构
[1] Univ Oxford, Nuffield Dept Clin Neurosci, Oxford OX3 9DU, England
[2] Princeton Univ, Princeton Neurosci Inst, Princeton, NJ 08540 USA
[3] Princeton Univ, Dept Psychol, Princeton, NJ 08540 USA
[4] Univ Oxford, Dept Expt Psychol, Oxford OX2 6GG, England
关键词
synaptic plasticity; working memory; history-dependent neural selectivity; computational model of working memory; prefrontal cortex; WORKING-MEMORY; TERM POTENTIATION; MODEL; RESOURCES; ATTENTION;
D O I
10.1073/pnas.2200400119
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The ability of prefrontal cortex to quickly encode novel associations is crucial for adaptive behavior and central to working memory. Fast Hebbian changes in synaptic strength permit forming new associations, but neuronal signatures of this have been elusive. We devised a trialwise index of pattern similarity to look for rapid changes in population codes. Based on a computational model of working memory, we hypothesized that synaptic strength-and consequently, the tuning of neurons-could change if features of a subsequent stimulus need to be "reassociated," i.e., if bindings between features need to be broken to encode the new item. As a result, identical stimuli might elicit different neural responses. As predicted, neural response similarity dropped following rebinding, but only in prefrontal cortex. The history-dependent changes were expressed on top of traditional, fixed selectivity and were not explainable by carryover of previous firing into the current trial or by neural adaptation.
引用
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页数:9
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