Visual Feedback Is Not Necessary for the Learning of Novel Dynamics

David W. Franklin; Udell So; Etienne Burdet; Mitsuo Kawato

doi:10.1371/journal.pone.0001336

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Open Access

Peer-reviewed

Research Article

Visual Feedback Is Not Necessary for the Learning of Novel Dynamics

David W. Franklin ,

*To whom correspondence should be addressed. E-mail: dwf25@cam.ac.uk

Affiliations National Institute of Information and Communications Technology, Keihanna Science City, Kyoto, Japan, ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto, Japan, Department of Engineering, University of Cambridge, Cambridge, United Kingdom
⨯
Udell So,

Affiliation ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto, Japan
⨯
Etienne Burdet,

Affiliation Department of Bioengineering, Imperial College London, London, United Kingdom
⨯
Mitsuo Kawato

Affiliation ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto, Japan
⨯

Visual Feedback Is Not Necessary for the Learning of Novel Dynamics

David W. Franklin,
Udell So,
Etienne Burdet,
Mitsuo Kawato

Published: December 19, 2007
https://doi.org/10.1371/journal.pone.0001336

About the Authors

David W. Franklin

*To whom correspondence should be addressed. E-mail: dwf25@cam.ac.uk

Affiliations National Institute of Information and Communications Technology, Keihanna Science City, Kyoto, Japan, ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto, Japan, Department of Engineering, University of Cambridge, Cambridge, United Kingdom

Udell So

Affiliation ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto, Japan

Etienne Burdet

Affiliation Department of Bioengineering, Imperial College London, London, United Kingdom

Mitsuo Kawato

Affiliation ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto, Japan

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: DF EB. Performed the experiments: DF US. Analyzed the data: DF US. Contributed reagents/materials/analysis tools: MK DF US. Wrote the paper: DF. Other: Discussion and interpretation of data: DF US EB MK.

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