Neuroengineering challenges of fusing robotics and neuroscience

Author:

Cheng Gordon12ORCID,Ehrlich Stefan K.1ORCID,Lebedev Mikhail345ORCID,Nicolelis Miguel A. L.567ORCID

Affiliation:

1. Chair for Cognitive Systems, Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany.

2. Center of Competence NeuroEngineering, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany.

3. Center for Bioelectric Interfaces of the Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Myasnitskaya 13, building 4, 101000 Moscow, Russia.

4. I.M. Sechenov First Moscow State Medical University, 2-4 Bolshaya Pirogovskaya Street, 119991 Moscow, Russia.

5. Department of Neurobiology, Duke University Center for Neuroengineering, Duke University, Durham, NC 27710, USA.

6. Departments of Biomedical Engineering and Psychology and Neuroscience, Duke University, Durham, NC 27710, USA.

7. Edmund and Lily Safra International Institute of Neurosciences, Natal 59066060, Brazil.

Abstract

Advances in neuroscience are inspiring developments in robotics and vice versa.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

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