Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. I. Algorithms and implementation

Journal of Neuroscience Methods

Volumn 25, Issue 3, 1988, Pages 181-187

  Salganicoff, M ^a   Sarna, M ^a   Sax, L ^a   Gerstein, G L ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Multi unit spike train; Principal components analysis; Reduced template matching; Spike discrimination by computer; Waveform analysis

Indexed keywords

COMPUTER ANALYSIS; COMPUTER PROGRAM; ELECTRODE; ELECTRONEUROGRAPHY; METHODOLOGY; NERVE CELL; PRIORITY JOURNAL; SPIKE WAVE; THEORETICAL STUDY;

ALGORITHMS; ANIMAL; CATS; COCHLEAR NERVE; COMPUTERS; ELECTROPHYSIOLOGY; NEURONS; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0023680404     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-0270(88)90132-X     Document Type: Article

References (15)

1. Multispike train analysis
2. Interactions among neurons in the auditory cortex of the cat
3. Real time classification of multiunit neural signals using reduced feature sets
4. Design of a laboratory for multineuron studies
5. Hardware device for multispike signal detection and sorting by template matching
6. An iterative spike separation technique
7. Response properties of neurons of cat's somatic sensory cortex to peripheral stimuli
8. On-line multi-unit sorting with resolution of superposition potentials
9. Instruments for sorting neuroelectric data
10. Computer separation of multi-unit neuroelectric data