Yutaka Hirata

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Research Focus

Key Achievements

Top Papers

1. 1
   A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control

   10 citations · 2015
2. 2
   Adaptive control of 2-wheeled balancing robot by cerebellar neuronal network model

   9 citations · 2010
3. 3
   A bi-hemispheric neuronal network model of the cerebellum with spontaneous climbing fiber firing produces asymmetrical motor learning during robot control

   9 citations · 2014
4. 4
   Direct Causality Between Single-Purkinje Cell Activities and Motor Learning Revealed by a Cerebellum–Machine Interface Utilizing VOR Adaptation Paradigm

   8 citations · 2012
5. 5
   A portable stand-alone bi-hemispherical neuronal network model of the cerebellum for adaptive robot control

   7 citations · 2014
6. 6
   The number of granular cells in a cerebellar neuronal network model engaged during robot control increases with the complexity of the motor task

   3 citations · 2014
7. 7
   Cerebellar-inspired bi-hemispheric neural network for adaptive control of an unstable robot

   3 citations · 2013
8. 8
   Adaptive control of 2-wheeled balancing robot by two hemispheric cerebellar neuronal network model

   2 citations · 2012

Key Collaborators