A characterization of the time-rescaled gamma process as a model for spike trains

Journal of Computational Neuroscience

Volumn 29, Issue 1-2, 2010, Pages 183-191

  Shimokawa, Takeaki ^a   Koyama, Shinsuke ^b   Shinomoto, Shigeru ^a  

^a KYOTO UNIVERSITY   (Japan)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Bayesian estimation; Firing irregularity; Firing rate; Gamma distribution; Point processes

Indexed keywords

PROBABILITY DISTRIBUTIONS;

BAYES METHOD; BAYESIAN ESTIMATIONS; FIRING IRREGULARITY; FIRING RATES; GAMMA DISTRIBUTION; GAMMA PROCESS; INTER SPIKE INTERVALS; INTERSPIKE INTERVAL DISTRIBUTIONS; POINT PROCESS; SPIKE TRAIN;

BAYESIAN NETWORKS;

ALGORITHM; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; INTERSPIKE INTERVAL; NERVE CELL MEMBRANE POTENTIAL; NORMAL DISTRIBUTION; PARAMETRIC TEST; PRIORITY JOURNAL; SPIKE WAVE; STATISTICAL MODEL;

EID: 77956933570     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-009-0194-y     Document Type: Article

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