Closed-loop Neural Recording
Closed-Loop Neural Recording is a neural recording technology that integrates real-time signal acquisition, on-the-fly neural data analysis, and immediate feedback-driven stimulation or intervention within a single, continuously operating system, thereby distinguishing itself from open-loop systems by enabling dynamic bidirectional interaction with neural circuits.
22
Publications
1.5K
Citations
118
Authors
53
Institutions
Publications per year
2017–2026
12
22
Hariprasad Chandrakumar, Dejan Marković · IEEE Journal of Solid-State Circuits · 2017 · 175 citations
Hariprasad Chandrakumar, Dejan Marković · IEEE Journal of Solid-State Circuits · 2018 · 130 citations
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53
University of Michigan
Ann Arbor, United States
3 h-index
16 publications
318 citations
Politecnico di Milano
Milan, Italy
2 h-index
2 publications
110 citations
University of Kansas Medical Center
Kansas City, United States
2 h-index
10 publications
152 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
610 citations
Case Western Reserve University
Cleveland, United States
2 h-index
3 publications
47 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
713 citations
Institute of Science and Technology Austria
Klosterneuburg, Austria
1 h-index
3 publications
42 citations
Westlake University
Hangzhou, China
1 h-index
5 publications
180 citations
1–8 of 53
4 publications · 752 citations
4
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3 publications · 365 citations
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1 publications · 36 citations
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CSSP · 1 publications · 15 citations
1
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1 publications · 76 citations
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