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The impact of sparsity in low-rank recurrent neural networks

Neural population dynamics are often highly coordinated, allowing task-related computations to be understood as neural trajectories through low-dimensional subspaces. How the network connectivity and input structure give rise to such activity can be investigated with the aid of low-rank recurrent ne...

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Detalles Bibliográficos
Autores principales: Herbert, Elizabeth, Ostojic, Srdjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390915/
https://www.ncbi.nlm.nih.gov/pubmed/35944030
http://dx.doi.org/10.1371/journal.pcbi.1010426