Residential College | false |
Status | 已發表Published |
A 1024-Channel 268 nW/pixel 36x36 μm2/ch Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces | |
MoonHyung Jang2; Wei-Han Yu1; Changuk Lee3; Maddy Hays2; Pingyu Wang2; Nick Vitale2; Pulkit Tandon2; Pumiao Yan2; Pui-In Mak1; Youngcheol Chae3; E.J. Chichilnisky2; Boris Murmann2; Dante G. Muratore4 | |
2023-07-24 | |
Conference Name | 2023 Symposium on VLSI Technology and Circuits |
Source Publication | IEEE Symposium on VLSI Technology and Circuits |
Volume | 2023-June |
Conference Date | 11-16, June, 2023 |
Conference Place | Kyoto, Japan |
Country | Japan |
Publication Place | IEEE Xplore |
Publisher | IEEE |
Abstract | This paper presents a neural recording IC featuring lossy compression during digitization, thus preventing data deluge and enabling a compact active digital pixel design. The wired-OR-based compression discards unwanted baseline samples while allowing the reconstruction of spike samples. The IC features a 32x32 MEA with 36μm pixel pitch and consumes 268nW per pixel from a single 1V supply. It achieves 9.8μVRMS input-referred noise and 0.3-5kHz bandwidth, resulting in NEF/PEF of 3.7/14.1. |
Keyword | Brain Compression Interface Neural Recording |
DOI | 10.23919/VLSITechnologyandCir57934.2023.10185288 |
URL | View the original |
Indexed By | EI |
Scopus ID | 2-s2.0-85167605665 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | INSTITUTE OF MICROELECTRONICS Faculty of Science and Technology |
Corresponding Author | Dante G. Muratore |
Affiliation | 1.University of Macau 2.Stanford University 3.Yonsei University 4.TU Delft |
Recommended Citation GB/T 7714 | MoonHyung Jang,Wei-Han Yu,Changuk Lee,et al. A 1024-Channel 268 nW/pixel 36x36 μm2/ch Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces[C], IEEE Xplore:IEEE, 2023. |
APA | MoonHyung Jang., Wei-Han Yu., Changuk Lee., Maddy Hays., Pingyu Wang., Nick Vitale., Pulkit Tandon., Pumiao Yan., Pui-In Mak., Youngcheol Chae., E.J. Chichilnisky., Boris Murmann., & Dante G. Muratore (2023). A 1024-Channel 268 nW/pixel 36x36 μm2/ch Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces. IEEE Symposium on VLSI Technology and Circuits, 2023-June. |
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