Self-sustained irregular activity in 2-D small-world networks of excitatory and inhibitory neurons

IEEE Transactions on Neural Networks

Volumn 21, Issue 6, 2010, Pages 895-905

  Guo, Daqing ^a   Li, Chunguang ^b  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Neural networks; Nonlinear dynamics; Smallworld network; Spiking neuron; Sustained activity

Indexed keywords

COMPUTATIONAL MODELING; LONG LASTING; NETWORK SIZE; NON-LINEAR DYNAMICS; RANDOM NEURAL NETWORK; REFRACTORY PERIOD; SIGNIFICANT IMPACTS; SIMULATION RESULT; SMALL PERTURBATIONS; SMALL WORLD NETWORKS; SMALL WORLDS; SPIKING NEURON;

COMPUTER SIMULATION; DYNAMICS; NEURONS;

NEURAL NETWORKS;

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CELL MEMBRANE POTENTIAL; COMPUTER SIMULATION; NERVE CELL; NERVE CELL INHIBITION; NERVE CELL NETWORK; NONLINEAR SYSTEM; PHYSIOLOGY;

ANIMALS; COMPUTER SIMULATION; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL INHIBITION; NEURAL NETWORKS (COMPUTER); NEURONS; NONLINEAR DYNAMICS;

EID: 77953123876     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2044419     Document Type: Article

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