Barradas Victor ＢａｒｒａｄａｓＶｉｃｔｏｒ

Researcher Number	70883908
Affiliation (Current)	2025: 筑波大学, システム情報系, 助教 2025: 東京科学大学, 総合研究院, 特任助教
Affiliation (based on the past Project Information) *help	2021 – 2023: 東京工業大学, 科学技術創成研究院, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 61020:Human interface and interaction-related
Keywords	Principal Investigator motor learning / manipulability ellipse / stroke rehabilitation / muscle co-contraction / target distribution / manipulability ellipsoid / speed of motor learning

Research Projects
(1 results)
Research Products
(8 results)

Enhancing motor skill learning by manipulating extrinsic and intrinsic components of the motor taskPrincipal Investigator
- Principal Investigator
  
  Barradas Victor
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61020:Human interface and interaction-related
- Research Institution
  Tokyo Institute of Technology

All 2024 2023 2022 2021

All Journal Article Presentation

[Journal Article] Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks2024
- Author(s)
  Barradas Victor R.、Koike Yasuharu、Schweighofer Nicolas
- Journal Title
  
  Neural Networks
  
  Volume: 170 Pages: 376-389
- DOI
  10.1016/j.neunet.2023.10.049
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17789, KAKENHI-PLANNED-19H05728, KAKENHI-PROJECT-23K28123
[Journal Article] EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill2023
- Author(s)
  Barradas Victor R.、Cho Woorim、Koike Yasuharu
- Journal Title
  
  Frontiers in Human Neuroscience
  
  Volume: 16 Pages: 805867-805867
- DOI
  10.3389/fnhum.2022.805867
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17789, KAKENHI-PLANNED-19H05728, KAKENHI-PROJECT-23K28123
[Journal Article] Design of an isometric end-point force control task for EMG normalization and muscle synergy extraction from the upper limb without MVC2022
- Author(s)
  W Cho, VR Barradas, N Schweighofer, Y Koike
- Journal Title
  
  Frontiers in Human Neuroscience
  
  Volume: 160 Pages: 0-0
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17789
[Presentation] The role of manipulability ellipsoids in the speed of learning inverse models of arm reaching2023
- Author(s)
  Barradas Victor R., Schweighofer Nicolas, Koike Yasuharu
- Organizer
  第17回Motor Control研究会
- Data Source
  KAKENHI-PROJECT-21K17789
[Presentation] Hyper-Adaptability for Overcoming Body-Brain Dysfunction: Integration of Empirical and System Theoretical Approaches2023
- Author(s)
  An Qi, Ota Jun, Imamizu Hiroshi, Barradas Victor R, Bian Lingbin
- Organizer
  45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17789
[Presentation] Necessary plastic processes to account for the Brunnstrom stages of recovery post-stroke in isometric arm tasks2022
- Author(s)
  Lee K, Barradas VR, Schweighofer N
- Organizer
  Society for Neuroscience
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17789
[Presentation] Control of interaction torques during single-joint arm movements in stroke survivors2022
- Author(s)
  Darmon Y, Loeb GE, Barradas VR, Winstein CJ, Rosario ER, Schweighofer N
- Organizer
  Society for Neuroscience
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17789
[Presentation] Computational limits on the speed of learning internal models for arm reaching2021
- Author(s)
  Victor R. Barradas
- Organizer
  Society for Neuroscience Global Connectome
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17789

Barradas Victor Ｂａｒｒａｄａｓ Ｖｉｃｔｏｒ

Research Projects

Research Products

Enhancing motor skill learning by manipulating extrinsic and intrinsic components of the motor taskPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Design of an isometric end-point force control task for EMG normalization and muscle synergy extraction from the upper limb without MVC2022

Author(s)

Journal Title

Data Source

[Presentation] The role of manipulability ellipsoids in the speed of learning inverse models of arm reaching2023

Author(s)

Organizer

Data Source

[Presentation] Hyper-Adaptability for Overcoming Body-Brain Dysfunction: Integration of Empirical and System Theoretical Approaches2023

Author(s)

Organizer

Data Source

[Presentation] Necessary plastic processes to account for the Brunnstrom stages of recovery post-stroke in isometric arm tasks2022

Author(s)

Organizer

Data Source

[Presentation] Control of interaction torques during single-joint arm movements in stroke survivors2022

Author(s)

Organizer

Data Source

[Presentation] Computational limits on the speed of learning internal models for arm reaching2021

Author(s)

Organizer

Data Source

Barradas Victor ＢａｒｒａｄａｓＶｉｃｔｏｒ