Realtime cerebellum: A large-scale spiking network model of the cerebellum that runs in realtime using a graphics processing unit

Neural Networks

Volumn 47, Issue , 2013, Pages 103-111

  Yamazaki, Tadashi ^a   Igarashi, Jun ^b  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b RIKEN   (Japan)

Author keywords

Cerebellar microcomplex; Graphics processing unit; Realtime simulation; Reservoir computing; Robotics; Spiking network model

Indexed keywords

CEREBELLAR MICROCOMPLEX; GRAPHICS PROCESSING UNIT; REAL TIME SIMULATIONS; RESERVOIR COMPUTING; SPIKING NETWORKS;

ANTHROPOMORPHIC ROBOTS; COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; COMPUTER SIMULATION; PARALLEL ARCHITECTURES; PROGRAM PROCESSORS; ROBOTICS; SUPERVISED LEARNING;

BRAIN;

ARTICLE; CEREBELLUM; COMPUTER SIMULATION; CONDITIONED REFLEX; ENGINEERING; EYELID REFLEX; GRANULE CELL; GRAPHICS PROCESSING UNIT; INFORMATION PROCESSING DEVICE; LEARNING; MOTOR CONTROL; NERVE CELL NETWORK; ONLINE SYSTEM; PRIORITY JOURNAL; PURKINJE CELL; QUALITATIVE ANALYSIS; REPRODUCIBILITY; ROBOTICS; SPIKE;

CEREBELLAR MICROCOMPLEX; GRAPHICS PROCESSING UNIT; REALTIME SIMULATION; RESERVOIR COMPUTING; ROBOTICS; SPIKING NETWORK MODEL;

ACTION POTENTIALS; CEREBELLUM; COMPUTER SIMULATION; CONDITIONING, EYELID; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; ROBOTICS; TIME FACTORS;

EID: 84884150994     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2013.01.019     Document Type: Article

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