Your browser doesn't support javascript.
loading
Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory.
Zylberberg, Joel; Strowbridge, Ben W.
Afiliação
  • Zylberberg J; Department of Physiology and Biophysics, Center for Neuroscience, and Computational Bioscience Program, University of Colorado School of Medicine, Aurora, Colorado 80045.
  • Strowbridge BW; Department of Applied Mathematics, University of Colorado, Boulder, Colorado 80309.
Annu Rev Neurosci ; 40: 603-627, 2017 07 25.
Article em En | MEDLINE | ID: mdl-28772102
ABSTRACT
A commonly observed neural correlate of working memory is firing that persists after the triggering stimulus disappears. Substantial effort has been devoted to understanding the many potential mechanisms that may underlie memory-associated persistent activity. These rely either on the intrinsic properties of individual neurons or on the connectivity within neural circuits to maintain the persistent activity. Nevertheless, it remains unclear which mechanisms are at play in the many brain areas involved in working memory. Herein, we first summarize the palette of different mechanisms that can generate persistent activity. We then discuss recent work that asks which mechanisms underlie persistent activity in different brain areas. Finally, we discuss future studies that might tackle this question further. Our goal is to bridge between the communities of researchers who study either single-neuron biophysical, or neural circuit, mechanisms that can generate the persistent activity that underlies working memory.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Potenciais de Ação / Córtex Cerebral / Memória de Curto Prazo / Modelos Neurológicos / Rede Nervosa Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Potenciais de Ação / Córtex Cerebral / Memória de Curto Prazo / Modelos Neurológicos / Rede Nervosa Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article