Automatic classification and analysis of microneurographic spike data using a PC/AT

Journal of Neuroscience Methods

Volumn 31, Issue 2, 1990, Pages 109-118

  Forster, Clemens ^a   Handwerker, Hermann O ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

C fibre; Electrical stimulation; Microneurography; Spike discrimination; Template matching

Indexed keywords

ARTICLE; COMPUTER ANALYSIS; ELECTROMYOGRAM; ELECTROSTIMULATION; METHODOLOGY; MICROPIPETTE; NEUROGRAPHY; PRIORITY JOURNAL;

ACTION POTENTIALS; ANIMAL; AUTOMATIC DATA PROCESSING; ELECTRIC STIMULATION; ELECTROPHYSIOLOGY; NEURONS; RADIAL NERVE; SUPPORT, NON-U.S. GOV'T;

EID: 0025134244     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-0270(90)90155-9     Document Type: Article

References (22)

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12. On-Line Real-Time Digital Computer Separation of Extracellular Neuroelectric Signals
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18. Microneurography and its relation to perceived sensation. A critical review
19. A comparison of techniques for classification of multiple neural signals
20. Peak discrimination as a method for quantitative evaluation of neural activity by computer
21. An on-line spike form discriminator for extracellular recordings based on an analog correlation technique