Performance evaluation of PCA-based spike sorting algorithms

Computer Methods and Programs in Biomedicine

Volumn 91, Issue 3, 2008, Pages 232-244

  Adamos, Dimitrios A ^a   Kosmidis, Efstratios K ^a   Theophilidis, George ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Clustering; Noise; PCA; Single electrode extracellular recordings; Spike sorting

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ALGORITHMS; BOOLEAN FUNCTIONS; CLUSTER ANALYSIS; ELECTROPHYSIOLOGY; EVOLUTIONARY ALGORITHMS; EXTRACTION; FEATURE EXTRACTION; FINANCIAL DATA PROCESSING; FLOW OF SOLIDS; INFORMATION RETRIEVAL SYSTEMS; INTEGER PROGRAMMING; JITTER; METALLIZING; MILITARY OPERATIONS; MULTITASKING; REUSABILITY; SCHEDULING ALGORITHMS; SOLVENT EXTRACTION; SORTING;

(E ,3E) PROCESS; ACTION POTENTIALS; ELECTRICAL ACTIVITIES; ELSEVIER (CO); EXPERIMENTAL DATA; FEATURE SPACES; GENERAL (CO); INDIVIDUAL (PSS 544-7); IRELAND; MULTI UNIT; NEURAL SYSTEMS; NEUROSCIENCE LITERATURE; NOISY RECORDINGS; OPEN SOURCES; PARAMETER SPACES; PERFORMANCE EVALUATION (PE); PRINCIPAL COMPONENT ANALYSIS (PCA); PRINCIPAL COMPONENTS; SPIKE SORTING; SPIKE SORTING ALGORITHMS; SYSTEMATIC (CO); WHITE GAUSSIAN NOISE (WGN);

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; CLUSTER ANALYSIS; COMPUTER PROGRAM; CORRELATION ANALYSIS; ELECTRIC ACTIVITY; HUMAN; METRIC SYSTEM; NERVE FIBER MEMBRANE POTENTIAL; NOISE MEASUREMENT; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; SPIKE WAVE;

ACTION POTENTIALS; ALGORITHMS; NERVE NET; NEURONS; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 46249100644     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2008.04.011     Document Type: Article

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