Dynamic Alignment Models for Neural Coding

Recently, there have been remarkable advances in modeling the relationships between the sensory environment, neuronal responses, and behavior. However, most models cannot encompass variable stimulus-response relationships such as varying response latencies and state or context dependence of the neur...

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Veröffentlicht in:	PLoS computational biology Jg. 10; H. 3; S. e1003508
Hauptverfasser:	Kollmorgen, Sepp, Hahnloser, Richard H. R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 01.03.2014 Public Library of Science (PLoS)
Schlagworte:	Algorithms Animals Biology Brain - physiology Hidden Markov models Humans Linear Models Markov Chains Models, Neurological Neural circuitry Neurological research Neurons - physiology Noise Nonlinear Dynamics Normal Distribution Parameter estimation Poisson Distribution Probability Rats Songbirds Time Factors Switzerland Brain Markov Chains Neurons Humans Probability Rats Linear Models Normal Distribution Algorithms Animals Time Factors Poisson Distribution Models, Neurological Nonlinear Dynamics Songbirds
ISSN:	1553-7358, 1553-734X, 1553-7358
Online-Zugang:	Volltext
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