Power-law inter-spike interval distributions infer a conditional maximization of entropy in cortical neurons

PLoS Computational Biology

Volumn 8, Issue 4, 2012, Pages

  Tsubo, Yasuhiro ^a   Isomura, Yoshikazu ^a,b,c   Fukai, Tomoki ^a,c  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b TAMAGAWA UNIVERSITY   (Japan)

^c JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; ENERGY UTILIZATION; NEURONS;

COMMUNICATION BANDS; CORTICAL NEURONS; ENERGY; ENERGY SUPPLIES; ENERGY-CONSUMPTION; FIRING RATES; INTER SPIKE INTERVALS; MUTUAL INFORMATIONS; POWER-LAW; PROCESSING MACHINES;

ENTROPY;

ANIMAL CELL; ANIMAL EXPERIMENT; ARTICLE; BRAIN NERVE CELL; CONDITIONAL MAXIMIZATION OF FIRING RATE ENTROPY; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ENERGY CONSUMPTION; ENERGY COST; ENTROPY; HISTOGRAM; IN VIVO STUDY; MAXIMIZATION OF MUTUAL INFORMATION; NERVE CELL NETWORK; NERVOUS SYSTEM PARAMETERS; NEURONAL FIRING; NOISE; NONHUMAN; POWER LAW INTER SPIKE INTERVAL DISTRIBUTION; RAT; SENSORIMOTOR CORTEX; STATISTICAL DISTRIBUTION; STOCHASTIC MODEL; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; BRAIN; BRAIN CORTEX; COMPUTER SIMULATION; ENERGY TRANSFER; NERVE CELL; PHYSIOLOGY; STATISTICAL MODEL;

RATTUS;

ACTION POTENTIALS; ANIMALS; BRAIN; CEREBRAL CORTEX; COMPUTER SIMULATION; ENERGY TRANSFER; ENTROPY; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS; RATS;

EID: 84861148375     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002461     Document Type: Article

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