Closed-loop Neural Data Analysis
Closed-Loop Neural Data Analysis is a neural data analysis framework that integrates real-time processing and feedback mechanisms to dynamically modulate experimental parameters or neural activity based on ongoing neural recordings.
3
Publications
54
Citations
19
Authors
14
Institutions
Publications per year
2017–2026
3
Parents
3
1–3 of 3
19
1
h-index
1
h-index
Advanced Telecommunications Research Institute International, Japan
1 publications · 19 citations
1
h-index
1
h-index
1
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1–5 of 19
14
Neurological Surgery
Rockville Centre, United States
1 h-index
1 publications
22 citations
Stanford University
Stanford, United States
1 h-index
5 publications
110 citations
Baylor College of Medicine
Houston, United States
1 h-index
1 publications
13 citations

National Institute of Information and Communications Technology
Tokyo, Japan
1 h-index
2 publications
38 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
1 publications
19 citations

Rice University
Houston, United States
1 h-index
3 publications
39 citations
Sony Computer Science Laboratories
Tokyo, Japan
1 h-index
1 publications
19 citations

Allen Institute for Brain Science
Seattle, United States
1 h-index
1 publications
19 citations
1–8 of 14
1 publications · 13 citations
1
h-index
1 publications · 19 citations
1
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1–2