Avalanches in a stochastic model of spiking neurons

PLoS Computational Biology

Volumn 6, Issue 7, 2010, Pages 21-

  Benayoun, Marc ^a   Cowan, Jack D ^b   van Drongelen, Wim ^a,b   Wallace, Edward ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

GILLESPIE ALGORITHM; IN-VITRO; IN-VIVO; NERVOUS TISSUES; NEURONAL AVALANCHES; POWER LAW DISTRIBUTION; SPIKING NEURONES; SPONTANEOUS ACTIVITY; STOCHASTIC-MODELING; STOCHASTICS;

NEURONS;

ALGORITHM; ARTICLE; BRAIN DEPTH STIMULATION; CONTROLLED STUDY; EVOKED RESPONSE; EXCITATORY JUNCTION POTENTIAL; MATHEMATICAL ANALYSIS; MOLECULAR DYNAMICS; NERVE CELL NETWORK; NOISE; STOCHASTIC MODEL; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; PHYSIOLOGY; PROBABILITY; RAT; STATISTICS;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; MARKOV CHAINS; MODELS, NEUROLOGICAL; NERVE NET; RATS; STOCHASTIC PROCESSES;

EID: 84984539714     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000846     Document Type: Article

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