Demonstrates improved motor prediction using optically powered neural recording motes, highlighting efficient wireless communication capabilities.
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 2 , 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.
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Atzeni et al. (2022) studied this question.
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