Quantifying the Brain Predictivity of Artificial Neural Networks With Nonlinear Response Mapping

Quantifying the similarity between artificial neural networks (ANNs) and their biological counterparts is an important step toward building more brain-like artificial intelligence systems. Recent efforts in this direction use neural predictivity, or the ability to predict the responses of a biologic...

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Detalles Bibliográficos
Autores principales: Anand, Aditi, Sen, Sanchari, Roy, Kaushik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Computational Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421725/
https://www.ncbi.nlm.nih.gov/pubmed/34504416
http://dx.doi.org/10.3389/fncom.2021.609721

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421725/
https://www.ncbi.nlm.nih.gov/pubmed/34504416
http://dx.doi.org/10.3389/fncom.2021.609721

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