A 3.1-5.2GHz, Energy-Efficient Single Antenna, Cancellation-Free, Bitwise Time-Division Duplex Transceiver for High Channel Count Optogenetic Neural Interface

Authors
Lin, Yu-JuSong, HyunsooOh, SungjinVoroslakos, MihalyKim, KanghwanChen, XingWentzloff, David D.Buzsaki, GyorgyPark, Sung-YunYoon, Euisik
Issue Date
2022-02
Publisher
Institute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Biomedical Circuits and Systems, v.16, no.1, pp.52 - 63
Abstract
We report an energy-efficient, cancellation-free, bit-wise time-division duplex (B-TDD) transceiver (TRX) for real-time closed-loop control of high channel count neural interfaces. The proposed B-TDD architecture consists of a duty-cycled ultra-wide band (UWB) transmitter (3.1-5 GHz) and a switching U-NII band (5.2 GHz) receiver. An energy-efficient duplex is realized in a single antenna without power-hungry self-interference cancellation circuits which are prevalently used in the conventional full-duplex, single antenna transceivers. To suppress the interference between up- and down-links and enhance the isolation between the two, we devised a fast-switching scheme in a low noise amplifier and used 5x oversampling with a built-in winner-take-all voting in the receiver. The B-TDD transceiver was fabricated in 65 nm CMOS RF process, achieving low energy consumption of 0.32 nJ/b at 10 Mbps in the receiver and 9.7 pJ/b at 200 Mbps in the transmitter, respectively. For validation, the B-TDD TRX has been integrated with a mu LED optoelectrode and a custom analog frontend integrated circuit in a prototype wireless bidirectional neural interface system. Successful in-vivo operation for simultaneously recording broadband neural signals and optical stimulation was demonstrated in a transgenic rodent.
Keywords
SILICON PROBES; Transceivers; Wireless communication; Optogenetics; Integrated circuits; Energy efficiency; Phase locked loops; Control systems; Bit-wise time-division duplex (B-TDD); transceiver (TRX); closed-loop control; ultra-wide band (UWB); unlicensed national information infrastructure (U-NII) band; wireless neural interface
ISSN
1932-4545
URI
https://pubs.kist.re.kr/handle/201004/115639
DOI
10.1109/TBCAS.2021.3139891
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KIST Article > 2022
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