Detection of bursts in extracellular spike trains using hidden semi-Markov point process models

Journal of Computational Neuroscience

Volumn 29, Issue 1-2, 2010, Pages 203-212

  Tokdar, Surya ^c   Xi, Peiyi ^a   Kelly, Ryan C ^b   Kass, Robert E ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University   (United States)

^c NONE

Author keywords

Hidden Markov model; Markov modulated poisson process; Poisson surprise; Poisson switching model; Rank surprise; Up state

Indexed keywords

NUMERICAL METHODS; PROBABILITY DISTRIBUTIONS; TRELLIS CODES;

EXTRACELLULAR SPIKES; HIDDEN-MARKOV MODELS; MARKOV MODULATED POISSON PROCESS; POISSON SURPRIZE; POISSON SWITCHING MODEL; POISSON SWITCHINGS; RANK SURPRIZE; SPIKE TRAIN; SWITCHING MODEL; UP STATE;

HIDDEN MARKOV MODELS;

ARTICLE; BAYES THEOREM; CONTROLLED STUDY; HIDDEN MARKOV MODEL; INTERSPIKE INTERVAL; NERVE CELL MEMBRANE POTENTIAL; POINT PROCESS MODEL; PRIORITY JOURNAL; PROBABILITY; SIMULATION; SPIKE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 77956943163     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-009-0182-2     Document Type: Article

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