Modeling of multisensory convergence with a network of spiking neurons: A reverse engineering approach

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 7, 2011, Pages 1940-1949

  Lim, Hun Ki ^a   Keniston, Leslie P ^b   Cios, Krzysztof J ^a,c  

^a Virginia Commonwealth University   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^c IITiS Polish Academy of Sciences   (United States)

Author keywords

Computational modeling; multisensory convergence; network of spiking neurons; reverse engineering

Indexed keywords

BIOLOGICAL EXPERIMENTS; COMPUTATIONAL MODEL; COMPUTATIONAL MODELING; GRAPH THEORETICAL APPROACH; MULTISENSORY; NETWORK TRAINING; NEURON MODEL; PROJECTION AREA; SIMULATED NETWORKS; SPIKING NEURON; TOPOLOGICAL PROPERTIES; UNDERLYING MECHANISM;

COMPUTER SIMULATION; EXPERIMENTS; GRAPH THEORY; REVERSE ENGINEERING;

NEURAL NETWORKS;

ARTICLE; BIMODAL NERVE CELL; BIOLOGICAL MODEL; BIOMEDICAL ENGINEERING; BRAIN CORTEX; COMPUTER ANALYSIS; CONTROLLED STUDY; MULTISENSORY CONVERGENCE; MULTISENSORY NERVE CELL; NERVE CELL MODEL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NERVE POTENTIAL; NEUROBIOLOGY; PERCEPTION; SENSORY NERVE CELL; SIMULATION; SUBTHRESHOLD NERVE CELL; SYNAPSE; UNISENSORY NERVE CELL; UNRESPONSIVE NERVE CELL;

ACTION POTENTIALS; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NERVE NET; NEURONAL PLASTICITY; SYNAPSES; SYNAPTIC POTENTIALS;

EID: 79959573460     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2125962     Document Type: Article

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