Your browser doesn't support javascript.
loading
Flexible modulation of sequence generation in the entorhinal-hippocampal system.
McNamee, Daniel C; Stachenfeld, Kimberly L; Botvinick, Matthew M; Gershman, Samuel J.
Afiliação
  • McNamee DC; Wellcome Centre for Human Neuroimaging, University College London, London, UK. daniel.c.mcnamee@gmail.com.
  • Stachenfeld KL; Max Planck UCL Centre for Computational Psychiatry, London, UK. daniel.c.mcnamee@gmail.com.
  • Botvinick MM; Department of Psychology, Harvard University, Cambridge, MA, USA. daniel.c.mcnamee@gmail.com.
  • Gershman SJ; Google DeepMind, London, UK.
Nat Neurosci ; 24(6): 851-862, 2021 06.
Article em En | MEDLINE | ID: mdl-33846626
ABSTRACT
Exploration, consolidation and planning depend on the generation of sequential state representations. However, these algorithms require disparate forms of sampling dynamics for optimal performance. We theorize how the brain should adapt internally generated sequences for particular cognitive functions and propose a neural mechanism by which this may be accomplished within the entorhinal-hippocampal circuit. Specifically, we demonstrate that the systematic modulation along the medial entorhinal cortex dorsoventral axis of grid population input into the hippocampus facilitates a flexible generative process that can interpolate between qualitatively distinct regimes of sequential hippocampal reactivations. By relating the emergent hippocampal activity patterns drawn from our model to empirical data, we explain and reconcile a diversity of recently observed, but apparently unrelated, phenomena such as generative cycling, diffusive hippocampal reactivations and jumping trajectory events.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Córtex Entorrinal / Hipocampo / Rede Nervosa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Córtex Entorrinal / Hipocampo / Rede Nervosa Idioma: En Ano de publicação: 2021 Tipo de documento: Article