Predictive coding of natural images by V1 firing rates and rhythmic synchronization

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Predictive coding is an important candidate theory of self-supervised learning in the brain. Its central idea is that sensory responses result from comparisons between bottom-up inputs and contextual predictions, a process in which rates and synchronization may play distinct roles. We recorded from...

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Detalles Bibliográficos
Autores principales: Uran, Cem, Peter, Alina, Lazar, Andreea, Barnes, William, Klon-Lipok, Johanna, Shapcott, Katharine A., Roese, Rasmus, Fries, Pascal, Singer, Wolf, Vinck, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992798/
https://www.ncbi.nlm.nih.gov/pubmed/35120628
http://dx.doi.org/10.1016/j.neuron.2022.01.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992798/
https://www.ncbi.nlm.nih.gov/pubmed/35120628
http://dx.doi.org/10.1016/j.neuron.2022.01.002

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