Recording

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A Bidirectional Neuromodulation Chipset With Algorithm-Aware AFE Optimization and High-Voltage-Compliant Stimulation

A Bidirectional Neuromodulation Chipset With Algorithm-Aware AFE Optimization and High-Voltage-Compliant Stimulation 150 150
Author(s): Xiaohua Huang, Hoda Yassin, Beatriz Lafuente Alcazar, Arash Akhoundi, Dante G. Muratore

Abstract:

This work presents a bidirectional neuromodulation chipset with 64-channel neural analog front-end (AFE), and a four-channel current stimulator. The chipset employs a heterogeneous architecture, combining a 28-nm low-voltage (LV) CMOS process for the AFE and the digital backend (DBE) to improve area and power efficiency, with a 180-nm high-voltage (HV) …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3650066
Publisher: IEEE

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A 4.6 μW, 133-VPP Common-Mode Interference-Tolerant Biopotential Amplifier for Two-Electrode Recording System in 110-nm CMOS

A 4.6 μW, 133-VPP Common-Mode Interference-Tolerant Biopotential Amplifier for Two-Electrode Recording System in 110-nm CMOS 150 150
Author(s): Yongjae Park, Yeong-Jin Mo, Jeong-Hoon Kim, Gert Cauwenberghs, Seong-Jin Kim

Abstract:

This article presents a biopotential recording analog front-end (AFE) specifically tailored for a two-electrode measurement system, capable of capturing small biopotential signals while tolerating a large common-mode interference (CMI) over 130 VPP. By leveraging the Miller effect, the proposed CMI-Follower provides a significantly low common-mode input impedance ( $Z_{\text {IN-CM-C}}$ ), achieving …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3613410
Publisher: IEEE

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A Scalable 1024-Channel Ultra-Low-Power Spike Sorting Chip With Event-Driven Detection and Spatial Clustering

A Scalable 1024-Channel Ultra-Low-Power Spike Sorting Chip With Event-Driven Detection and Spatial Clustering 150 150
Author(s): Arash Akhoundi, Pumiao Yan, Yawende Landbrug, Madeline Hays, Boris Murmann, E. J. Chichilnisky, Dante G. Muratore

Abstract:

This article presents a 1024-channel ultra-low-power spike sorting chip featuring event-driven spike detection and spatial clustering for large-scale neural recording. To address power and scalability constraints in brain–computer interfaces (BCIs), the design integrates a compressive analog-to-digital converter (ADC) with a two-stage spike detector that significantly reduces memory and processing …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 17
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3611139
Publisher: IEEE

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