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Closed-form correlation-based identification of recurrent spiking networks
Author(s) -
Sharon Shoham
Publication year - 2010
Publication title -
frontiers in neuroscience
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.499
H-Index - 102
eISSN - 1662-4548
pISSN - 1662-453X
DOI - 10.3389/conf.fnins.2010.03.00195
Subject(s) - computer science , autoregressive model , spike (software development) , spike train , identification (biology) , artificial intelligence , correlation , nonlinear system , statistical model , artificial neural network , train , causality (physics) , event (particle physics) , machine learning , mathematics , econometrics , botany , geometry , software engineering , physics , cartography , quantum mechanics , biology , geography

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