Unified computational model of motor control based on spatial representation and understanding of neural activities in motor-related brain network

2016 Fiscal Year Final Research Report

• Project/Area Number: 25430007
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Neurophysiology / General neuroscience
• Research Institution: Japan Advanced Institute of Science and Technology
• Principal Investigator: Tanaka Hirokazu 北陸先端科学技術大学院大学, 先端科学技術研究科, 准教授 (00332320)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: 計算論モデル / 脳科学 / 神経科学 / 運動制御 / 感覚処理 / 最適制御 / 最適推定

Outline of Final Research Achievements

I proposed a computational model of the primary motor cortex (M1) in which visuomotor transformation is solved through Newton-Euler dynamics with spatial representations, and explained a variety of findings about M1 neural properties in a unified way. In addition to neural properties, the model also explained various findings from human psychophysics of motor adaptation such as generalization patterns. Extending the model of M1, I attempted to construct a model of the motor-related network including the parietal cortex and the cerebellum. Especially, I discovered, by constructing a model of cerebellar activities, a predictive computation from inputs of the mossy fibers to outputs of the cerebeller nuclei. With these models, I clarified the neural representations and the algorithms with which the brain predicts and controls body movements.

Free Research Field

計算論的神経科学