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Neural networks / Computational neuroscience / Nervous system / Cognitive neuroscience / Brain / Recurrent neural network / Mirror neuron / Neuron / Synaptic weight / Neuroscience / Biology / Anatomy


New Mathematics and Natural Computation, Vol.5, No.1, pp, September 12, :5
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Document Date: 2009-03-30 07:56:20

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City

Tokyo / /

Company

Yamashita / IPL / MTRNN We / Hiroaki Arie / /

Country

Japan / /

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Facility

Jun Tani RIKEN Brain Science Institute / Waseda University / Hiroaki Arie RIKEN Brain Science Institute / /

IndustryTerm

on-line manner / constant recurrent neural network / search process / input-output network / context unit network / neural network / chaos network / inputoutput network / chaotic network / namely input-output network / on-line / conventional unsupervised learning algorithm / chaotic neural network / recurrent neural network / chaos neural network / dynamical systems / /

Organization

Takafumi Arakaki Department of Advanced Mechanical Engineering / Tetsuro Endo Department of Advanced Mechanical Engineering / US Federal Reserve / Waseda University / Hiroaki Arie RIKEN Brain Science Institute / PFC Specified Goal Predicted Proprioceptive State Vt+1 Map Pt+1 Initial State PMv Set Initial State IPL Chaos NN CTRNN Vt Pt Cerebellum Environment Motor Command / Shigeki Sugano Department of Advanced Mechanical Engineering / /

Person

Hiroaki Arie / Vtd / Shigeki Sugano / Walter Freeman / Takafumi Arakaki / Jun Tani / /

Position

VP state / VP trajectories / VP / sensory-forward / current VP / tutor / complex VP / PID controller / VP sequence / teaching VP / VP proļ¬le / VP sequences / VP sensory state / camera head / Forward generation / head / /

Technology

neuroscience / neural network / conventional unsupervised learning algorithm / /

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