A maximum entropy test for evaluating higher-order correlations in spike counts

PLoS Computational Biology

Volumn 8, Issue 6, 2012, Pages

  Onken, Arno ^a,b   Dragoi, Valentin ^c   Obermayer, Klaus ^a,b  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

^c UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; ENTROPY; INFORMATION THEORY; NEURAL NETWORKS; STATISTICAL TESTS;

CONDITION; DATA SET; DIVERGENCE MEASURES; EXPERIMENTAL CONDITIONS; HIGH ORDER CORRELATION; HIGHER ORDER CORRELATION; MAXIMUM ENTROPY DISTRIBUTION; MAXIMUM ENTROPY TESTS; NEURAL SPIKE; NUMBER OF SAMPLES;

ELECTROPHYSIOLOGY;

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; BRAIN DEPTH STIMULATION; CHI SQUARE TEST; CONTROLLED STUDY; ENTROPY; EVALUATION RESEARCH; EXPERIMENTAL CAT; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; NONHUMAN; NULL HYPOTHESIS; RELIABILITY; SPIKE WAVE; STATISTICAL DISTRIBUTION; STIMULUS RESPONSE; STRIATE CORTEX; SYNAPTIC TRANSMISSION; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; CAT; COMPARATIVE STUDY; COMPUTER SIMULATION; EVALUATION; EVOKED VISUAL RESPONSE; NERVE CELL; PHOTOSTIMULATION; PHYSIOLOGY; STATISTICAL MODEL; VALIDATION STUDY; VISUAL CORTEX;

ACTION POTENTIALS; ANIMALS; CATS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; EVOKED POTENTIALS, VISUAL; LIKELIHOOD FUNCTIONS; MODELS, NEUROLOGICAL; MONTE CARLO METHOD; NEURONS; PHOTIC STIMULATION; VISUAL CORTEX;

EID: 84864047308     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002539     Document Type: Article

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