A Miniaturized 256-Channel Neural Recording Interface with Area-Efficient Hybrid Integration of Flexible Probes and CMOS Integrated Circuits

Sung Yun Park, Kyounghwan Na, Mihaly Voroslakos, Hyunsoo Song, Nathan Slager, Sungjin Oh, John Seymour, Gyorgy Buzsaki, Euisik Yoon

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

We report a miniaturized, minimally invasive high-density neural recording interface that occupies only a 1.53 mm2 footprint for hybrid integration of a flexible probe and a 256-channel integrated circuit chip. To achieve such a compact form factor, we developed a custom flip-chip bonding technique using anisotropic conductive film and analog circuit-under-pad in a tiny pitch of 75 μm. To enhance signal-to-noise ratios, we applied a reference-replica topology that can provide the matched input impedance for signal and reference paths in low-noise aimpliers (LNAs). The analog front-end (AFE) consists of LNAs, buffers, programmable gain amplifiers, 10b ADCs, a reference generator, a digital controller, and serial-peripheral interfaces (SPIs). The AFE consumes 51.92 μW from 1.2 V and 1.8 V supplies in an area of 0.0161 mm2 per channel, implemented in a 180 nm CMOS process. The AFE shows > 60 dB mid-band CMRR, 6.32 μVrms input-referred noise from 0.5 Hz to 10 kHz, and 48 MΩ input impedance at 1 kHz. The fabricated AFE chip was directly flip-chip bonded with a 256-channel flexible polyimide neural probe and assembled in a tiny head-stage PCB. Full functionalities of the fabricated 256-channel interface were validated in both in vitro and in vivo experiments, demonstrating the presented hybrid neural recording interface is suitable for various neuroscience studies in the quest of large scale, miniaturized recording systems.

Original languageEnglish
Pages (from-to)334-346
Number of pages13
JournalIEEE Transactions on Biomedical Engineering
Volume69
Issue number1
DOIs
Publication statusPublished - 2022 Jan 1

Bibliographical note

Publisher Copyright:
© 1964-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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