Improving spike separation using waveform derivatives

Journal of Neural Engineering

Volumn 6, Issue 4, 2009, Pages

  Yang, Zhi ^a   Zhao, Qi ^a   Liu, Wentai ^a  

^a University of California Santa Cruz   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FIRST DERIVATIVE; LOW-FREQUENCY NOISE; NOISE-SHAPING; PUBLIC DATABASE; QUANTITATIVE COMPARISON; THEORETICAL FRAMEWORK; WAVE FORMS;

NEURONS;

FEATURE EXTRACTION;

ARTICLE; COMPARATIVE STUDY; CONCEPTUAL FRAMEWORK; DATA EXTRACTION; GEOMETRY; LOW FREQUENCY NOISE; NERVE CELL; NERVE POTENTIAL; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SPIKE; SPIKE WAVE; WAVEFORM; ACTION POTENTIAL; ALGORITHM; ANIMAL; BASAL GANGLION; CLUSTER ANALYSIS; COMPUTER SIMULATION; FACTUAL DATABASE; HAPLORHINI; NEOCORTEX; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; ROC CURVE; SIGNAL PROCESSING;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BASAL GANGLIA; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATABASES, FACTUAL; HAPLORHINI; NEOCORTEX; NEURONS; PRINCIPAL COMPONENT ANALYSIS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 70349771058     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/6/4/046006     Document Type: Article

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