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Functional identification of biological neural networks using reservoir adaptation for point processes

The complexity of biological neural networks does not allow to directly relate their biophysical properties to the dynamics of their electrical activity. We present a reservoir computing approach for functionally identifying a biological neural network, i.e. for building an artificial system that is...

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Detalhes bibliográficos
Main Authors: Gürel, Tayfun, Rotter, Stefan, Egert, Ulrich
Formato: Artigo
Idioma:Inglês
Publicado em: Springer US 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2940037/
https://ncbi.nlm.nih.gov/pubmed/19639401
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10827-009-0176-0
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