Versatile networks of simulated spiking neurons displaying winner-take-all behavior

Frontiers in Computational Neuroscience

Volumn , Issue MAR, 2013, Pages

  Chen, Yanqing ^a   McKinstry, Jeffrey L ^a,b   Edelman, Gerald M ^a  

^a NEUROSCIENCES INSTITUTE   (United States)

^b POINT LOMA NAZARENE UNIVERSITY   (United States)

Author keywords

Brain based computational model; Large scale spiking neural networks; Motor control and learning plasticity; Neurorobotics; Sensorimotor control; Spike timing dependent plasticity; Spiking neuronal networks; Winner take all

Indexed keywords

COMPUTATIONAL MODEL; MOTOR CONTROL AND LEARNING; NEUROROBOTICS; SENSORIMOTOR CONTROL; SPIKE-TIMING-DEPENDENT PLASTICITY; SPIKING NEURAL NETWORKS; SPIKING NEURONAL NETWORKS; WINNER TAKE ALLS;

COMPUTER SIMULATION; NETWORK ARCHITECTURE; NEURONS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL POPULATION; COMPUTER SIMULATION; EYE HAND COORDINATION; MOTOR COORDINATION; NERVE CELL EXCITABILITY; NERVE CELL INHIBITION; NERVE CELL PLASTICITY; NERVE CONDUCTION; PRESYNAPTIC NERVE; PRESYNAPTIC POTENTIAL; ROBOTICS; SYNAPTIC TRANSMISSION; VISUAL ORIENTATION;

EID: 84875462062     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2013.00016     Document Type: Article

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