Joint probability-based neuronal spike train classification

Computational and Mathematical Methods in Medicine

Volumn 10, Issue 3, 2009, Pages 229-239

  Chen, Yan ^a   Marchenko, Vitaliy ^a   Rogers, Robert F ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

Classification problem; Slowly adapting pulmonary stretch receptors; Spike train analysis; Temporally discretized binning procedure

Indexed keywords

CLASSIFICATION ACCURACY; DISCRETIZATION PARAMETERS; DISCRETIZATIONS; EUCLIDEAN DISTANCE; JOINT PROBABILITY; SLOWLY ADAPTING PULMONARY STRETCH RECEPTORS; SPIKE TRAIN ANALYSIS; TEMPORALLY DISCRETIZED BINNING PROCEDURE;

PROBABILITY;

ANIMAL EXPERIMENT; ARTICLE; CLASSIFICATION; CONTROLLED STUDY; INTERMETHOD COMPARISON; LUNG RECEPTOR; MALE; NEUROTRANSMISSION; NONHUMAN; PROBABILITY; RABBIT; SPIKE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STIMULUS RESPONSE;

ORYCTOLAGUS CUNICULUS;

EID: 70349099208     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1080/17486700802448615     Document Type: Article

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