Variational bayesian inference for point process generalized linear models in neural spike trains analysis

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 2086-2089

  Chen, Zhe ^a,b   Kloosterman, Fabian ^a   Wilson, Matthew A ^a   Brown, Emery N ^a,b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Conjugate prior; Generalized linear model; Logistic regression; Point process; Poisson regression; Variational bayes

Indexed keywords

BARIUM COMPOUNDS; BAYESIAN NETWORKS; INFERENCE ENGINES; NEURAL NETWORKS; POISSON DISTRIBUTION; REGRESSION ANALYSIS;

CONJUGATE PRIOR; GENERALIZED LINEAR MODEL; LOGISTICS REGRESSIONS; NEURAL SPIKE TRAINS; POINT PROCESS; POISSON REGRESSION; SPIKE TRAIN ANALYSIS; STATISTICAL INFERENCE; VARIATIONAL BAYES; VARIATIONAL BAYESIAN INFERENCES;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 78049378634     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495095     Document Type: Conference Paper

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