A stochastic mean field model for an excitatory and inhibitory synaptic drive cortical neuronal network

IEEE Transactions on Neural Networks and Learning Systems

Volumn 25, Issue 4, 2014, Pages 751-763

  Hui, Qing ^a   Haddad, Wassim M ^b   Bailey, James M ^c   Hayakawa, Tomohisa ^d  

^a Texas Tech University   (United States)

^b Georgia Institute of Technology   (United States)

^c Northeast Georgia Medical Center   (United States)

^d TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Brownian motion; Excitatory and inhibitory neurons; General anesthesia; Mean field model; Multiplicative white noise; Spiking neuron models; Stochastic multistability; Uncertainty modeling; Wiener process

Indexed keywords

ANESTHESIOLOGY; ANESTHETICS; BIOCHEMISTRY; BROWNIAN MOVEMENT; DYNAMICAL SYSTEMS; LEARNING ALGORITHMS; MEAN FIELD THEORY; MOLECULAR BIOLOGY; NEURAL NETWORKS; NEURONS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

GENERAL ANESTHESIAS; INHIBITORY NEURONS; MEAN FIELD MODELING; MULTI STABILITIES; MULTIPLICATIVE WHITE NOISE; SPIKING NEURON MODELS; UNCERTAINTY MODELING; WIENER PROCESS;

STOCHASTIC MODELS;

ANIMAL; BIOLOGICAL MODEL; BRAIN CORTEX; COMPUTER SIMULATION; EXCITATORY POSTSYNAPTIC POTENTIAL; HUMAN; INHIBITORY POSTSYNAPTIC POTENTIAL; NERVE CELL INHIBITION; NERVE CELL NETWORK; PHYSIOLOGY; STATISTICAL MODEL; STATISTICS; SYNAPTIC TRANSMISSION;

ANIMALS; CEREBRAL CORTEX; COMPUTER SIMULATION; EXCITATORY POSTSYNAPTIC POTENTIALS; HUMANS; INHIBITORY POSTSYNAPTIC POTENTIALS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; NEURAL INHIBITION; STOCHASTIC PROCESSES; SYNAPTIC TRANSMISSION;

EID: 84897020776     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2013.2281065     Document Type: Article

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