State-space Neural Control
State-Space Neural Control is a closed-loop neural control framework that formalizes the interaction between neural population dynamics and external stimuli through a state-space representation, where the system’s evolving neurophysiological state is estimated and strategically modulated via feedback-driven control policies to achieve desired neural trajectories.
13
Publications
333
Citations
51
Authors
32
Institutions
Publications per year
2017–2026
6
Parents
13
Encoding of female mating dynamics by a hypothalamic line attractor
Mengyu Liu, Aditya Nair, Néstor Coria et al. · Nature · 2024 · 34 citations · Full text
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Stanford University
Stanford, United States
2 h-index
2 publications
64 citations

Howard Hughes Medical Institute
Chevy Chase, United States
2 h-index
5 publications
166 citations

University of Coimbra
Coimbra, Portugal
2 h-index
8 publications
176 citations

Universidade Nova de Lisboa
Lisbon, Portugal
2 h-index
2 publications
44 citations
German Primate Center
Göttingen, Germany
1 h-index
4 publications
120 citations
Hamburg University of Technology
Hamburg, Germany
1 h-index
2 publications
50 citations
The Wallace H. Coulter Department of Biomedical Engineering
Atlanta, United States
1 h-index
3 publications
141 citations
SUNY Downstate Health Sciences University
Brooklyn, United States
1 h-index
2 publications
28 citations
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1 publications · 28 citations
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1 publications · 34 citations
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1 publications · 30 citations
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1 publications · 30 citations
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1 publications · 25 citations
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