Closed-loop Neural Control
Closed-Loop Neural Control is a neural control system that continuously adjusts its output based on real-time feedback from the controlled process, distinguishing itself from open-loop systems by incorporating sensory feedback to dynamically regulate neural activity or neuroprosthetic devices.
24
Publications
1.1K
Citations
128
Authors
58
Institutions
Publications per year
2017–2026
8
Parents
24
Closed-loop neural control of cursor motion using a Kalman filter
Wei Wu, Ammar Shaikhouni, J.R. Donoghue et al. · 2005 · 93 citations
Controlling a Mobile Robot with a Biological Brain
Kevin Warwick, Dimitris Xydas, Slawomir J. Nasuto et al. · Defence Science Journal · 2010 · 86 citations · Full text
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University of Washington
Seattle, United States
2 h-index
3 publications
68 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
30 citations
University of Reading
Reading, United Kingdom
1 h-index
8 publications
688 citations

Universidad de Málaga
Málaga, Spain
1 h-index
1 publications
61 citations
Feng Chia University
Taichung, Taiwan
1 h-index
3 publications
45 citations

Johns Hopkins University
Baltimore, United States
1 h-index
3 publications
156 citations
Fraunhofer Institute for Biomedical Engineering
Sulzbach, Germany
1 h-index
1 publications
20 citations
China University of Mining and Technology
Xuzhou, China
1 h-index
2 publications
46 citations
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4 publications · 406 citations
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2 publications · 77 citations
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1 publications · 13 citations
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1 publications · 28 citations
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1 publications · 20 citations
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