Unsupervised wavelet-based spike sorting with dynamic codebook searching and replenishment

Neurocomputing

Volumn 73, Issue 7-9, 2010, Pages 1513-1527

  Chan, Hsiao Lung ^a   Wu, Tony ^a,b   Lee, Shih Tseng ^a,b   Lin, Ming An ^a   He, Shau Ming ^a   Chao, Pei Kuang ^a   Tsai, Yu Tai ^a,b  

^a CHANG GUNG UNIVERSITY   (Taiwan)

^b CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

Author keywords

Class mergence; Spike alignment; Template matching; Unsupervised spike sorting; Wavelet transform

Indexed keywords

ALIGNMENT TECHNIQUE; BRAIN MACHINE INTERFACE; CLASS MERGENCE; CODEBOOKS; DEEP BRAIN STIMULATION; MOTOR COMMANDS; NEURONAL ACTIVITIES; PEAK ENERGY; REAL-TIME MODE; SPIKE WAVEFORMS; SPIKE-SORTING; TEMPLATE-MATCHING ALGORITHMS; UNSUPERVISED CLASSIFICATION; UNSUPERVISED SPIKE SORTING; WAVELET COEFFICIENTS;

ALIGNMENT; BRAIN; MERGING; TEMPLATE MATCHING;

WAVELET TRANSFORMS;

ARTICLE; CLASSIFICATION ALGORITHM; CODEBOOK REPLENISHMENT; CONTROLLED STUDY; CORRELATION COEFFICIENT; DYNAMIC CODEBOOK BASED TEMPLATE MATCHING ALGORITHM; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MULTI PEAK ENERGY COMPARISON; ONLINE SYSTEM; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SIGNAL NOISE RATIO; SPECIFIC WAVELET COEFFICIENT; SPIKE; SPIKE WAVE; UNSUPERVISED WAVELET BASED SPIKE SORTING;

EID: 77949270248     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.11.006     Document Type: Article

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