Spike sorting: Bayesian clustering of non-stationary data

Journal of Neuroscience Methods

Volumn 157, Issue 2, 2006, Pages 303-316

  Bar Hillel, Aharon ^a   Spiro, Adam ^a   Stark, Eran ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b HEBREW UNIVERSITY   (Israel)

Author keywords

Clustering; Jensen Shannon divergence; Mixture of Gaussians; Monkey recordings; Non stationary data; Semi supervised learning; Spike sorting

Indexed keywords

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; DEVICE; ELECTROENCEPHALOGRAPHY; FEEDBACK SYSTEM; LEARNING; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; MICROELECTRODE; MONKEY; NERVE CELL; NONHUMAN; NORMAL DISTRIBUTION; PREMOTOR CORTEX; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; SEMI SUPERVISED LEARNING; SIGNAL NOISE RATIO; SPIKE; TASK PERFORMANCE;

ALGORITHMS; BAYES THEOREM; BRAIN; ELECTROENCEPHALOGRAPHY; HUMANS; MODELS, NEUROLOGICAL; NEURONS;

EID: 33748313143     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2006.04.023     Document Type: Article

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