Neural network firing-rate models on integral form : EEffects of temporal coupling kernels on equilibrium-state stability

Biological Cybernetics

Volumn 97, Issue 3, 2007, Pages 195-209

  Nordbø, Øyvind ^a,b   Wyller, John ^a   Einevoll, Gaute T ^a  

^a NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^b SINTEF ENERGY RESEARCH   (Norway)

Author keywords

Firing rate; Neural networks; Routh Hurwitz; Stability; Temporal coupling; Volterra

Indexed keywords

INTEGRAL EQUATIONS; MATHEMATICAL MODELS; NEURONS; PHASE EQUILIBRIA; STABILITY;

EQUILIBRIUM-STATE STABILITY; FIRING RATE; TEMPORAL COUPLING; TEMPORAL COUPLING KERNELS;

NEURAL NETWORKS;

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; COMPUTER SIMULATION; EXCITATORY POSTSYNAPTIC POTENTIAL; HUMAN; INHIBITORY POSTSYNAPTIC POTENTIAL; NERVE CELL; NERVE CELL INHIBITION; NERVE CELL NETWORK; PHYSIOLOGY; STATISTICAL MODEL; SYNAPTIC TRANSMISSION; TIME;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; CEREBRAL CORTEX; COMPUTER SIMULATION; EXCITATORY POSTSYNAPTIC POTENTIALS; HUMANS; INHIBITORY POSTSYNAPTIC POTENTIALS; LINEAR MODELS; NERVE NET; NEURAL INHIBITION; NEURAL NETWORKS (COMPUTER); NEURONS; SYNAPTIC TRANSMISSION; TIME FACTORS;

EID: 34548324624     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-007-0167-z     Document Type: Article

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