Identification of reliable spike templates in multi-unit extracellular recordings using fuzzy clustering

Computer Methods and Programs in Biomedicine

Volumn 61, Issue 2, 2000, Pages 91-98

  Zouridakis, George ^a   Tam, David C ^b  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

Fuzzy clustering; Fuzzy K means; Multi unit spike train; Spike discrimination; Template extraction

Indexed keywords

FEATURE EXTRACTION; FUZZY SETS; OPTIMIZATION; SIGNAL TO NOISE RATIO;

MULTI-UNIT SPIKE TRAIN; TEMPLATE EXTRACTION;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; MODEL; NERVE CELL; SIGNAL NOISE RATIO;

ACTION POTENTIALS; ALGORITHMS; CELL COUNT; COMPUTER SIMULATION; FUZZY LOGIC; NEURONS; REPRODUCIBILITY OF RESULTS;

EID: 0034142506     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-2607(99)00032-2     Document Type: Article

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