An automatic measure for classifying clusters of suspected spikes into single cells versus multiunits

Journal of Neural Engineering

Volumn 6, Issue 5, 2009, Pages

  Tankus, Ariel ^a   Yeshurun, Yehezkel ^b   Fried, Itzhak ^a,b,c,d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b TEL AVIV UNIVERSITY   (Israel)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN-COMPUTER INTERFACE; EPILEPSY SURGERY; EVALUATION CRITERIA; EXISTING METHOD; HUMAN PATIENTS; REAL-TIME OPERATION; SINGLE CELLS; SPIKE WAVEFORMS; SPIKE-SORTING; SYNTHETIC DATASETS; VISUAL FEATURE; VISUAL INSPECTION;

ADAPTIVE ALGORITHMS; INTERFACES (COMPUTER); VISUAL COMMUNICATION;

QUALITY CONTROL;

ACCURACY; ADULT; ALGORITHM; ARTICLE; BRAIN; BRAIN COMPUTER INTERFACE; CELL SEPARATION; CELL STRUCTURE; CLASSIFICATION; CLASSIFIER; CLINICAL ARTICLE; ELECTRODE; EPILEPSY; EVALUATION; FEMALE; HUMAN; IMPLANTATION; MALE; PRIORITY JOURNAL; WAVEFORM; ACTION POTENTIAL; ADOLESCENT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; METHODOLOGY; NERVE CELL; NERVE CELL NETWORK; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ACTION POTENTIALS; ADOLESCENT; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; FEMALE; HUMANS; MALE; NERVE NET; NEURONS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 70449697993     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/6/5/056001     Document Type: Article

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