CMOS芯片
电子工程
炸薯条
计算机科学
电子线路
电气工程
频道(广播)
电压
工程类
作者
Xiaolin Yang,Marco Ballini,Chutham Sawigun,Wen-Yang Hsu,Jan-Willem Weijers,Jan Putzeys,Carolina Mora López
出处
期刊:IEEE Journal of Solid-state Circuits
[Institute of Electrical and Electronics Engineers]
日期:2023-01-16
卷期号:58 (4): 949-960
被引量:16
标识
DOI:10.1109/jssc.2023.3234612
摘要
The current demand for high-channel-count neural-recording interfaces calls for more area- and power-efficient readout architectures that do not compromise other electrical performances. In this article, we present a miniature 128-channel neural recording integrated circuit (NRIC) for the simultaneous acquisition of local field potentials (LFPs) and action potentials (APs), which can achieve a very good compromise between area, power, noise, input range, and electrode dc offset (EDO) cancellation. An ac-coupled 1st-order digitally-intensive $\Delta $ - $\Delta \Sigma $ architecture is proposed to achieve this compromise and to leverage the advantages of a highly-scaled technology node. A prototype NRIC, including 128 channels, a newly-proposed area-efficient bulk-regulated voltage reference, biasing circuits, and a digital control, has been fabricated in 22-nm fully depleted silicon on insulator (FDSOI) CMOS and fully characterized. Our proposed architecture achieves a total area per channel of 0.005 mm2, a total power per channel of 12.57 $\mu \text{W}$ , and an input-referred noise of 7.7 ± 0.4 $\mu \text{V}_{\mathrm {rms}}$ in the AP band and 11.9 ± 1.1 $\mu \text{V}_{\mathrm {rms}}$ in the LFP band. A very good channel-to-channel uniformity is demonstrated by our measurements. The chip has been validated in vivo, demonstrating its capability to successfully record full-band neural signals.
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