Hybrid discrete-time neural networks

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 368, Issue 1930, 2010, Pages 5071-5086

  Cao, Hongjun ^a   Ibarz, Borja ^b  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

Bursting; Hybrid neuron network; Map based neuron; Numerical simulation; Rulkov model; Synchronization

Indexed keywords

BIOLOGY; DIFFERENTIAL EQUATIONS; DIGITAL CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; DYNAMICAL SYSTEMS; EQUATIONS OF STATE; MATHEMATICAL MODELS; NEURAL NETWORKS; SYNCHRONIZATION;

BIOLOGICAL NEURAL NETWORKS; BURSTING; CHEMICAL SYNAPSIS; CONNECTION SCHEMES; DISCRETE TIME SYSTEM; DISCRETE-TIME; DISCRETE-TIME NEURAL NETWORKS; DYNAMIC EQUATIONS; ELECTRICAL SYNAPSIS; EVOLUTION EQUATIONS; HYBRID DYNAMICAL SYSTEMS; HYBRID NEURON NETWORK; MASTER STABILITY FUNCTION; NEURON MODEL; NUMERICAL SIMULATION; PHASE-PLANE ANALYSIS; PRESYNAPTIC; RULKOV MODEL; STATE TRANSITIONS; SWITCHING DYNAMICS; SYNAPTIC INPUT; THRESHOLD MODULATION;

COMPUTER SIMULATION;

HUMAN; NERVE CELL; NERVE CELL NETWORK; NONLINEAR SYSTEM; PHYSIOLOGY; REVIEW; SYNAPSE;

HUMANS; NERVE NET; NEURONS; NONLINEAR DYNAMICS; SYNAPSES;

EID: 78649380266     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2010.0171     Document Type: Article

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