A 64-channel back-gate adapted ultra-low-voltage spike-aware neural recording front-end with on-chip lossless/near-lossless compression engine and 3.3V stimulator in 22nm FDSOI
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In neural implants and biohybrid research systems, the integration of electrode recording and stimulation front-ends with pre-processing circuitry promises a drastic increase in real-time capabilities [1, 6]. In our proposed neural recording system, constant sampling with a bandwidth of 9.8kHz yields 6.73μV input-referred noise (IRN) at a power-per-channel of 0.34μW for the time-continuous ΔΣ-modulator, and 0.52μW for the digital filters and spike detectors. We introduce dynamic current/bandwidth selection at the ΔΣ and digital filter to reduce recording bandwidth at the absence of spikes (i.e. local field potentials). This is controlled by a two-level spike detection and adjusted by adaptive threshold estimation (ATE). Dynamic bandwidth selection reduces power by 53.7%, increasing the available channel count at a low heat dissipation. Adaptive back-gate voltage tuning (ABGVT) compensates for PVT variation in subthreshold circuits. This allows 1.8V input/output (IO) devices to operate at 0.4V supply voltage robustly. The proposed 64-channel neural recording system moreover includes a 16-channel adaptive compression engine (ACE) and an 8-channel on-chip current stimulator at 3.3V. The stimulator supports field-shaping approaches, promising increased selectivity in future research.
Details
Original language | English |
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Title of host publication | 2022 IEEE Asian Solid-State Circuits Conference (A-SSCC) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-3 |
ISBN (electronic) | 978-1-6654-7143-5 |
ISBN (print) | 978-1-6654-7144-2 |
Publication status | Published - 2022 |
Peer-reviewed | Yes |
Publication series
Series | IEEE Asian Conference on Solid-State Circuits (A-SSCC) |
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Conference
Title | 2022 IEEE Asian Solid-State Circuits Conference, A-SSCC 2022 |
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Duration | 6 - 9 November 2022 |
City | Taipei |
Country | Taiwan, Province of China |