The number of granular cells in a cerebellar neuronal network model engaged during robot control increases with the complexity of the motor task

অনুরূপ উপাদানগুলি

• Adaptive control of 2-wheeled balancing robot by two hemispheric cerebellar neuronal network model
  অনুযায়ী: Pinzon-Morales, Ruben-Dario, অন্যান্য
  প্রকাশিত: (2012)
• Spontaneous firing activity in climbing fiber is critical for a realistic bi-hemispherical cerebellar neuronal network during robot control
  অনুযায়ী: Pinzon-Morales, Ruben-Dario, অন্যান্য
  প্রকাশিত: (2014)
• A bi-hemispheric neuronal network model of the cerebellum with spontaneous climbing fiber firing produces asymmetrical motor learning during robot control
  অনুযায়ী: Pinzon-Morales, Ruben-Dario, অন্যান্য
  প্রকাশিত: (2014)
• Evaluation of Teaching Signals for Motor Control in the Cerebellum during Real-World Robot Application
  অনুযায়ী: Pinzon Morales, Ruben Dario, অন্যান্য
  প্রকাশিত: (2016)
• The origin of the frequency selectivity in VOR motor learning revealed by a realistic cerebellar spiking neuron network model.
  অনুযায়ী: Inagaki, Keiichiro, অন্যান্য
  প্রকাশিত: (2010)