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Neural signature of flexible coding in prefrontal cortex.
Bocincova, Andrea; Buschman, Timothy J; Stokes, Mark G; Manohar, Sanjay G.
Afiliação
  • Bocincova A; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, United Kingdom.
  • Buschman TJ; Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540.
  • Stokes MG; Department of Psychology, Princeton University, Princeton, NJ 08540.
  • Manohar SG; Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom.
Proc Natl Acad Sci U S A ; 119(40): e2200400119, 2022 10 04.
Article em En | MEDLINE | ID: mdl-36161948
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sinapses / Córtex Pré-Frontal / Memória de Curto Prazo / Modelos Neurológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sinapses / Córtex Pré-Frontal / Memória de Curto Prazo / Modelos Neurológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido