A geometric framework for understanding dynamic information integration in context-dependent computation

The prefrontal cortex (PFC) plays a prominent role in performing flexible cognitive functions and working memory, yet the underlying computational principle remains poorly understood. Here, we trained a rate-based recurrent neural network (RNN) to explore how the context rules are encoded, maintaine...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaohan, Liu, Shenquan, Chen, Zhe Sage
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367843/
https://www.ncbi.nlm.nih.gov/pubmed/34430809
http://dx.doi.org/10.1016/j.isci.2021.102919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367843/
https://www.ncbi.nlm.nih.gov/pubmed/34430809
http://dx.doi.org/10.1016/j.isci.2021.102919

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