Spike sorting: A novel shift and amplitude invariant technique

Neurocomputing

Volumn 44-46, Issue , 2002, Pages 1133-1139

  Oweiss, Karim G ^a   Anderson, David J ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Array processing; Multichannel recording; Spike sorting; Wavelet transform

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; BRAIN; DATA ACQUISITION; ROBUSTNESS (CONTROL SYSTEMS); SILICON;

SPIKE SORTING;

NEUROLOGY;

SILICON;

ALGORITHM; ARTICLE; BRAIN FUNCTION; CELL ACTIVITY; CLASSIFICATION; CONTROLLED STUDY; METHODOLOGY; NERVE CELL; PRIORITY JOURNAL; RECORDING; SIGNAL NOISE RATIO; SPIKE;

EID: 0036064162     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(02)00436-8     Document Type: Article

References (11)

1. Multispike train analysis
2. Batch-fabricated thin-film electrodes for stimulation of the central auditory system
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4. Accuracy of Tetrode spike separation as determined by simultaneous intracellular and extracellular measurements
5. Best basis algorithm for signal enhancement
6. A review of methods for spike sorting: The detection and classification of neuronal action potentials
7. A new technique for blind source separation using subband subspace analysis in correlated multichannel signal environments
8. MASSIT-multiresolution analysis of signal subspace invariance techniques: A novel technique for blind source separation
9. Interaction between spike waveform classification and temporal sequence detection