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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| 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 |