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Grid Cells in Cognition: Mechanisms and Function.
Dong, Ling L; Fiete, Ila R.
Afiliação
  • Dong LL; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; email: fiete@mit.edu.
  • Fiete IR; McGovern Institute and K. Lisa Yang Integrative Computational Neuroscience Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Annu Rev Neurosci ; 47(1): 345-368, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38684081
ABSTRACT
The activity patterns of grid cells form distinctively regular triangular lattices over the explored spatial environment and are largely invariant to visual stimuli, animal movement, and environment geometry. These neurons present numerous fascinating challenges to the curious (neuro)scientist What are the circuit mechanisms responsible for creating spatially periodic activity patterns from the monotonic input-output responses of single neurons? How and why does the brain encode a local, nonperiodic variable-the allocentric position of the animal-with a periodic, nonlocal code? And, are grid cells truly specialized for spatial computations? Otherwise, what is their role in general cognition more broadly? We review efforts in uncovering the mechanisms and functional properties of grid cells, highlighting recent progress in the experimental validation of mechanistic grid cell models, and discuss the coding properties and functional advantages of the grid code as suggested by continuous attractor network models of grid cells.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cognição / Células de Grade / Modelos Neurológicos Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cognição / Células de Grade / Modelos Neurológicos Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article