Identifying number of neurons in extracellular recording

2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09

Volumn , Issue , 2009, Pages 742-745

  Novak D ^a   Wild, J ^a   Sieger, T ^a   Jech, R ^b  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b CHARLES UNIVERSITY   (Czech Republic)

Author keywords

Cluster evaluation; Gaussian mixture models; Model selection; Spike sorting

Indexed keywords

BACKGROUND NOISE; BAYESIAN; CLUSTER EVALUATION; COMPARATIVE STUDIES; EXTRACELLULAR RECORDING; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODELS; INFORMATION CRITERION; MINIMUM DESCRIPTION LENGTH; MINIMUM MESSAGE LENGTHS; MODEL SELECTION; NOISE LEVELS; PARTITION COEFFICIENT; SELECTION METHODS; SPIKE SORTING; SPIKE SORTING ALGORITHMS;

BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); MIXTURES; OBJECT RECOGNITION;

NEURONS;

EID: 70350581091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2009.5109403     Document Type: Conference Paper

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