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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Detalles Bibliográficos
Autores principales: Lazar, Aurel A., Slutskiy, Yevgeniy B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176398/
https://www.ncbi.nlm.nih.gov/pubmed/25309413
http://dx.doi.org/10.3389/fncom.2014.00117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176398/
https://www.ncbi.nlm.nih.gov/pubmed/25309413
http://dx.doi.org/10.3389/fncom.2014.00117

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