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Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models

Our understanding of nonlinear stimulus transformations by neural circuits is hindered by the lack of comprehensive yet interpretable computational modeling frameworks. Here, we propose a data-driven approach based on deep neural networks to directly model arbitrarily nonlinear stimulus-response map...

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Bibliografske podrobnosti
izdano v:eLife
Main Authors: Keshishian, Menoua, Akbari, Hassan, Khalighinejad, Bahar, Herrero, Jose L, Mehta, Ashesh D, Mesgarani, Nima
Format: Artigo
Jezik:Inglês
Izdano: eLife Sciences Publications, Ltd 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7347387/
https://ncbi.nlm.nih.gov/pubmed/32589140
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.53445
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