A pattern grouping algorithm for analysis of spatiotemporal patterns in neuronal spike trains. 2. Application to simultaneous single unit recordings

Journal of Neuroscience Methods

Volumn 105, Issue 1, 2001, Pages 15-24

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

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b BOGOMOLETZ INSTITUTE OF PHYSIOLOGY   (Ukraine)

^c INSTITUTE OF HYDROBIOLOGY   (Ukraine)

Author keywords

Multiple single unit recordings; Neural code; Spike train analysis; Synchronization; Synfire chain; Temporal cortex; Temporal firing patterns; Thalamus

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ANIMAL EXPERIMENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSOCIATION; AUDITORY CORTEX; BEHAVIOR; BRAIN; BRAIN FUNCTION; CELL SYNCHRONIZATION; CONTROLLED STUDY; COOLING; CORRELATION FUNCTION; DATA ANALYSIS; DISCRIMINATION LEARNING; LEARNING; NERVE CELL; NONHUMAN; PATTERN RECOGNITION; PRIORITY JOURNAL; RAT; REACTION TIME; RESPONSE TIME; SINGLE UNIT ACTIVITY; SPATIOTEMPORAL PATTERN; SPIKE; TEMPORAL CORTEX; THALAMUS;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; AUDITORY CORTEX; BRAIN; DISCRIMINATION LEARNING; ELECTROPHYSIOLOGY; GENICULATE BODIES; MODELS, NEUROLOGICAL; NERVE NET; NEURAL PATHWAYS; NEURONS; PATTERN RECOGNITION, AUTOMATED; RATS; RATS, LONG-EVANS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 0035970080     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0270(00)00337-X     Document Type: Article

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