A comparative study of pattern detection algorithm and dynamical system approach using simulated spike trains

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1327, Issue , 1997, Pages 37-42

  Tetko, Igor V ^a,b   Villa, Alessandro E P ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b INSTITUTE OF BIOORGANIC CHEMISTRY AND PETROCHEMISTRY   (Ukraine)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; INPUT OUTPUT PROGRAMS; NEURAL NETWORKS; SIGNAL DETECTION;

CHAOTIC ATTRACTORS; CHAOTIC SPIKE TRAIN; COMPARATIVE STUDIES; DYNAMICAL SYSTEM APPROACHES; ITS APPLICATIONS; NOISE FILTERING; PATTERN DETECTION ALGORITHMS; SIMULATED DATASETS;

PATTERN RECOGNITION;

EID: 0002031325     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0020129     Document Type: Conference Paper

References (11)

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