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Neural population geometry: An approach for understanding biological and artificial neural networks

Advances in experimental neuroscience have transformed our ability to explore the structure and function of neural circuits. At the same time, advances in machine learning have unleashed the remarkable computational power of artificial neural networks (ANNs). While these two fields have different to...

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Detalles Bibliográficos
Autores principales: Chung, SueYeon, Abbott, L. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695674/
https://www.ncbi.nlm.nih.gov/pubmed/34801787
http://dx.doi.org/10.1016/j.conb.2021.10.010