Non-additive coupling enables propagation of synchronous spiking activity in purely random networks

PLoS Computational Biology

Volumn 8, Issue 4, 2012, Pages

  Memmesheimer, Raoul Martin ^a   Timme, Marc ^b  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

'CURRENT; CONDITION; DENDRITICS; NEURAL CIRCUITS; NEURAL-NETWORKS; NON-ADDITIVE; RANDOM NETWORK; SINGLE NEURON; SPIKE PATTERNS; SYNCHRONOUS ACTIVITY;

NEURAL NETWORKS;

AMPLITUDE MODULATION; ARTICLE; CELL INTERACTION; CONTROLLED STUDY; COUPLING STRENGTH; DENDRITIC INTERACTION; EXCITATORY POSTSYNAPTIC POTENTIAL; INHIBITORY POSTSYNAPTIC POTENTIAL; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NERVE CELL CHARACTERISTICS AND FUNCTIONS; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL MEMBRANE STEADY POTENTIAL; NERVE CELL NETWORK; NON ADDITIVE NEURON COUPLING; NONLINEAR SYSTEM; PROBABILITY; PULSE SIZE; QUANTITATIVE ANALYSIS; RANDOM NEURAL NETWORK; RECURRENT NEURAL NETWORK; SIGNAL TRANSDUCTION; SYNCHRONOUS SPIKING ACTIVITY; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; NERVE CELL; PHYSIOLOGY; STATISTICAL MODEL; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; NEURONS; SYNAPTIC TRANSMISSION;

EID: 84861143516     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002384     Document Type: Article

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