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Channel identification machines for multidimensional receptive fields

We present algorithms for identifying multidimensional receptive fields directly from spike trains produced by biophysically-grounded neuron models. We demonstrate that only the projection of a receptive field onto the input stimulus space may be perfectly identified and derive conditions under whic...

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Detalhes bibliográficos
Main Authors: Lazar, Aurel A., Slutskiy, Yevgeniy B.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4176398/
https://ncbi.nlm.nih.gov/pubmed/25309413
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2014.00117
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