
Hidden Markov models for the complex stimulus-response relationships of multi-state neurons
Author(s) -
Liam Paninski
Publication year - 2008
Publication title -
frontiers in computational neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.794
H-Index - 58
ISSN - 1662-5188
DOI - 10.3389/conf.neuro.10.2008.01.043
Subject(s) - hidden markov model , computer science , point process , spike train , algorithm , synthetic data , maximization , markov chain , expectation–maximization algorithm , markov model , artificial intelligence , spike (software development) , maximum likelihood , mathematics , machine learning , mathematical optimization , statistics , software engineering