Open AccessBeyond GLMs: a generative mixture modeling approach to neural system identification
Author(s) -
Lucas Theis,
Daniel Arnstein,
AM Chagas,
Christopher G. Schwarz,
Matthias Bethge
Publication year - 2012
Publication title -
frontiers in computational neuroscience
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.794
H-Index - 58
ISSN - 1662-5188
DOI - 10.3389/conf.fncom.2012.55.00080
Subject(s) - computer science , generative model , artificial intelligence , computational neuroscience , bayes' theorem , machine learning , generative grammar , cognitive neuroscience , nonparametric statistics , artificial neural network , cognitive science , pattern recognition (psychology) , neuroscience , psychology , bayesian probability , mathematics , cognition , statistics