Using noise signature to optimize spike-sorting and to assess neuronal classification quality

Journal of Neuroscience Methods

Volumn 122, Issue 1, 2002, Pages 43-57

  Pouzat, Christophe ^a,b   Mazor, Ofer ^a   Laurent, Gilles ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b CNRS   (France)

Author keywords

Antennal lobe; Data clustering; Expectation maximization; Locust; Multi electrode; Sampling jitter; Tetrode

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; EMPIRICISM; INTRACELLULAR RECORDING; NERVE CELL; NEURONAL CLASSIFICATION; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIGNAL NOISE RATIO; SPIKE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; COMPUTER SIMULATION; FEMALE; GRASSHOPPERS; MALE; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS; PATTERN RECOGNITION, AUTOMATED; QUALITY CONTROL; RECEPTORS, SENSORY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES;

EID: 0037207286     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0270(02)00276-5     Document Type: Article

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