Paper Info
Title
A 260×274 μm<sup>2</sup> 572 nW Neural Recording Micromote Using Near-Infrared Power Transfer and an RF Data Uplink
Abstract
This paper presents an optically powered neural recording system for motor prediction using distributed free-floating motes. The proposed mote includes a neural recording amplifier, a data converter, feature extraction, and an on-chip antenna for implementing an RF uplink consuming only 42 nW. The entire mote IC dissipates 572 nW and occupies an area of 260×274 μm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , representing the smallest neural recording system with RF uplink to date. Wireless and concurrent communication with multiple units is also demonstrated based on the code-division multiplexing.
Year
DOI
Venue
2022
10.1109/VLSITechnologyandCir46769.2022.9830516
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
Keywords
DocType
ISSN
rf data uplink,optically powered neural recording system,motor prediction,neural recording amplifier,data converter,feature extraction,RF uplink,entire mote IC,smallest neural recording system,neural recording micromote,near-infrared power transfer,distributed free-floating motes,on-chip antenna,wireless communication,concurrent communication,code-division multiplexing,power 42.0 nW,power 572.0 nW
Conference
0743-1562
ISBN
Citations 
PageRank 
978-1-6654-9773-2
0
0.34
References 
Authors
0
17
Name
Order
Citations
PageRank
Gabriele Atzeni100.68
Jongyup Lim200.34
Jiawei Liao301.35
Alessandro Novello400.68
Jungho Lee500.34
Eunseong Moon623.46
Michael Barrow721.44
Joseph Letner800.34
Joseph Costello900.34
Samuel R. Nason1021.77
Paras R. Patel1100.34
Parag G. Patil1200.34
Hun-Seok Kim1301.01
Cynthia A. Chestek1400.34
Jamie Phillips1500.34
David Blaauw1600.68
Taekwang Jang1701.35