461 results on '"Yoshimura Natsue"'
Search Results
152. 運動と姿勢の動作解析
153. 非侵襲的脳活動信号を用いたデコーディング
154. Neural decoding using non-invasive brain activity signals (in Japanese)
155. Reaching movement learning model capable for perturbation adaptation (in Japanese)
156. 力場適応を行う到達運動学習モデル
157. EMG/EEG signal source estimation during finger movements
158. Source separation and localization of individual superficial forearm extensor muscles using high-density surface electromyography
159. Muscle activity reconstruction of ankle flexors and extensors using non-invasive brain activity recording methods
160. Modulation of muscle synergy activation during arm movements in patients with hemiparesis
161. 脳波による脳情報のデコーディングとリハビリテーションへの応用
162. Brain information decoding using EEG and its application for rehabilitation (in Japanese)
163. Evaluating sensory prediction errors: a new technique for decoding movement intention
164. 二本の指によるつまみ動作を生成する脳活動
165. Brain activities generating pinching movement with two fingers (in Japanese)
166. Neural representation of wrist motor coordinate frames and their application, ATR Mini Symposium on Sensorimotor Control and Robotics
167. Neural representation of wrist motor coordinate frames and their application
168. Rehabilitation robot using muscle activity and neural decoding
169. Human’s Episodic Learning : Subsequent Memory Analysis on Large fMRI Dataset
170. Force field adaptation using computational model without trajectory planning
171. Electromyographic activity reconstruction of ankle flexors and extensors from estimated cortical currents
172. BMIと運動制御
173. 重さの予測値が運動制御に与える影響についての考察
174. Discussion on the effect of weight prediction to motor control (in Japanese)
175. BMI and motor control
176. Sparse Linear Regression for reconstructing EMG from EEG current sources estimated using Variational Bayes
177. Decoding of Ankle Flexion and Extension from Cortical Current Sources Estimated from Non-invasive Brain Activity Recording Methods
178. Versatile Locomotion Control of a Hexapod Robot Using a Hierarchical Network of Nonlinear Oscillator Circuits
179. A Study on Brain-Computer Interface Using Transien Visual Evoked Potentials
180. Brain-machine interfaces based on non-invasive methods (in Japanese)
181. 非侵襲脳活動計測によるブレインマシンインタフェース
182. Body reconstruction from brain activity signals
183. Classifying force levels of hand grasping and opening using electroencephalography cortical currents
184. Decoding finger movement in humans using synergy of EEG cortical current signals
185. Decoding of emotional responses to user-unfriendly computer interfaces via electroencephalography signals
186. The possibility of electroencephalography signals towards non-invasive brain-machine interfaces
187. Lower-limb muscle synergies during jumping (in Japanese)
188. 跳躍時における下肢部の筋シナジー
189. Past and current research: Neural decoding of detailed information using EEG and fMRI
190. Learnig time-to-contact in ball catching without haptic information
191. Reversing Weight-Perception in Motion on Slope
192. Evaluation of usability for cursor control from electroencephalography
193. Muscle Activity Reconstruction for Ankle Flexor and Extensor
194. Classification of ankle flexion and extension using functional magnetic resonance images
195. Neural representations of wrist motion in human motor cortices
196. Brain Machine Interface for forces and motion based on musculo-skeletal model
197. Real-time closed-eye-based communication system using EEG sensors and auditory feedback
198. A computational model for learning reaching movement in 3-Dimentional Space and in force fields from scratch
199. 脳皮質信号源を用いた母音識別における信号源推定条件の検討
200. Parameter tuning of EEG cortical currents for vowel imagery decoding
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