| 日時(Date) | 平成30年12月5日（水）3限（13:30--15:00) Wed. Dec. 5th, 2018, 3rd Period (13:30--15:00) |
|---|---|
| 場所(Location) | L1 |
| 司会(Chair) | 池田 和司 教授 |
| 講演者(Presenter) | 瀧山 健 (東京農工大学大学院 工学研究院 准教授 ) |
| 題目(Title) | Prospective errors determine motor learning - a step towards a unified model of motor learning - 当日資料 |
| 概要(Abstract) | Diverse features of motor learning have been reported by numerous studies, but no single theoretical framework concurrently accounts for these features. Here, we propose a model for motor learning to explain these features in a unified way by extending a motor primitive framework. The model assumes that the recruitment pattern of motor primitives is determined by the predicted movement error of an upcoming movement (prospective error). To validate this idea, we perform a behavioural experiment to examine the model’s novel prediction: after experiencing an environment in which the movement error is more easily predictable, subsequent motor learning should become faster. The experimental results support our prediction, suggesting that the prospective error might be encoded in the motor primitives. Furthermore, we demonstrate that this model has a strong explanatory power to reproduce a wide variety of motor-learning-related phenomena that have been separately explained by different computational models. |
| 講演言語(Language) | English |
| 講演者紹介(Introduction of Lecturer) | 2008.3 東京大学教育学部卒業 2013.3 東京大学大学院新領域創成科学研究科 複雑理工学専攻 博士課程修了 2013.4-2015.8 日本学術振興会特別研究員(SPD) 受入: 玉川大学脳科学研究所 2015.9- 東京農工大学大学院 工学研究院 准教授 |