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Revealing nonlinear neural decoding by analyzing choices

Sensory data about most natural task-relevant variables are entangled with task-irrelevant nuisance variables. The neurons that encode these relevant signals typically constitute a nonlinear population code. Here we present a theoretical framework for quantifying how the brain uses or decodes its no...

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Detalles Bibliográficos
Autores principales: Yang, Qianli, Walker, Edgar, Cotton, R. James, Tolias, Andreas S., Pitkow, Xaq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595442/
https://www.ncbi.nlm.nih.gov/pubmed/34785652
http://dx.doi.org/10.1038/s41467-021-26793-9

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