Use of 'relative-phase' analysis to assess correlation between neuronal spike trains

Biological Cybernetics

Volumn 88, Issue 3, 2003, Pages 177-182

  Chen, Yanqing ^a   Nitz, Douglas A ^a  

^a NEUROSCIENCES INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; COMPUTER SIMULATION; FOURIER TRANSFORMS; INTEGRAL EQUATIONS; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; TIME SERIES ANALYSIS;

NEURONAL SPIKE TRAIN; RELATIVE-PHASE ANALYSIS;

NEUROPHYSIOLOGY;

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN; CEREBELLUM CORTEX; CYTOLOGY; ELECTROPHYSIOLOGY; NERVE CELL; PHYSIOLOGY; PURKINJE CELL; RAT; SIGNAL PROCESSING; STATISTICS; TIME;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BRAIN; CEREBELLAR CORTEX; ELECTROPHYSIOLOGY; MODELS, NEUROLOGICAL; NEURONS; PURKINJE CELLS; RATS; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS; TIME FACTORS;

EID: 0038386079     PISSN: 03401200     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00422-002-0367-5     Document Type: Article

References (6)

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4. Perkel DH, Gerstein GL, Moore GP (1967) Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophys J 7: 419-440
5. Rosenberg JR, Amjad AM, Breeze P, Brillinger DR, Halliday DM (1989) The Fourier approach to the identification of functional coupling between neuronal spike trains. Prog Biophys Mol Biol 53: 1-31
6. Wyman RJ (1965) Probabilistic characterization of simultaneous nerve impulse sequences controlling dipteran flight. Biophys J 5: 447-460