Neural Sequences and the Encoding of Time.
Adv Exp Med Biol
; 1455: 81-93, 2024.
Article
em En
| MEDLINE
| ID: mdl-38918347
ABSTRACT
Converging experimental and computational evidence indicate that on the scale of seconds the brain encodes time through changing patterns of neural activity. Experimentally, two general forms of neural dynamic regimes that can encode time have been observed neural population clocks and ramping activity. Neural population clocks provide a high-dimensional code to generate complex spatiotemporal output patterns, in which each neuron exhibits a nonlinear temporal profile. A prototypical example of neural population clocks are neural sequences, which have been observed across species, brain areas, and behavioral paradigms. Additionally, neural sequences emerge in artificial neural networks trained to solve time-dependent tasks. Here, we examine the role of neural sequences in the encoding of time, and how they may emerge in a biologically plausible manner. We conclude that neural sequences may represent a canonical computational regime to perform temporal computations.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Encéfalo
/
Redes Neurais de Computação
/
Neurônios
Limite:
Animals
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Humans
Idioma:
En
Revista:
Adv Exp Med Biol
Ano de publicação:
2024
Tipo de documento:
Article