A Totally Automated System for the Detection and Classification of Neural Spikes

IEEE Transactions on Biomedical Engineering

Volumn 35, Issue 10, 1988, Pages 806-816

  Yang, Xiaowei ^a   Shamma, Shihab A ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL TRANSFORMATIONS; PROBABILITY; SIGNAL DETECTION -- MEDICAL APPLICATIONS; SIGNAL PROCESSING -- DIGITAL TECHNIQUES; SYSTEMS SCIENCE AND CYBERNETICS -- LEARNING SYSTEMS;

FEATURE LEARNING PHASE; HAAR TRANSFORM DETECTION; NEURAL SPIKES; REAL-TIME DETECTION; TEMPLATE LEARNING PHASE;

BIOMEDICAL ENGINEERING;

AUDITORY CORTEX; CLASSIFICATION; COMPUTER ANALYSIS; GUINEA PIG; METHODOLOGY; NERVE CELL; NONHUMAN; SPIKE; THEORETICAL STUDY;

ACTION POTENTIALS; ANIMAL; AUDITORY CORTEX; FERRETS; GUINEA PIGS; MODELS, NEUROLOGICAL; MOTOR CORTEX; NEURONS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, NON-P.H.S.;

EID: 0024095005     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.7287     Document Type: Article

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