Cargando…
Reservoir computing model of prefrontal cortex creates novel combinations of previous navigation sequences from hippocampal place-cell replay with spatial reward propagation
As rats learn to search for multiple sources of food or water in a complex environment, they generate increasingly efficient trajectories between reward sites. Such spatial navigation capacity involves the replay of hippocampal place-cells during awake states, generating small sequences of spatially...
Autores principales: | Cazin, Nicolas, Llofriu Alonso, Martin, Scleidorovich Chiodi, Pablo, Pelc, Tatiana, Harland, Bruce, Weitzenfeld, Alfredo, Fellous, Jean-Marc, Dominey, Peter Ford |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668845/ https://www.ncbi.nlm.nih.gov/pubmed/31306421 http://dx.doi.org/10.1371/journal.pcbi.1006624 |
Ejemplares similares
-
Adapting hippocampus multi-scale place field distributions in cluttered environments optimizes spatial navigation and learning
por: Scleidorovich, Pablo, et al.
Publicado: (2022) -
Hippocampus Leads Ventral Striatum in Replay of Place-Reward Information
por: Lansink, Carien S., et al.
Publicado: (2009) -
Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex
por: Enel, Pierre, et al.
Publicado: (2016) -
A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells
por: Gao, Yuanxiang
Publicado: (2023) -
Replay
por: Gelatti, Luciane Cristina, et al.
Publicado: (2014)