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A Wide-Dynamic-Range, DC-Coupled, Time-Based Neural-Recording IC With Optimized CCO Frequency
oleh: Donghyun Youn, Youngin Kim, Injun Choi, Yoontae Jung, Hyuntak Jeon, Kyungtae Lee, Soon-Jae Kweon, Sohmyung Ha, Minkyu Je
Format: | Article |
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Diterbitkan: | IEEE 2024-01-01 |
Deskripsi
This paper presents a wide-dynamic-range, DC-coupled, time-based neural-recording integrated circuit (IC), which is resilient against stimulation artifacts, for bidirectional neural interfaces. The proposed neural-recording IC based on delta-sigma modulation consists of an input Gm cell, current-controlled oscillator (CCO)-based integrator, phase quantizer, and tri-level current-steering DACs. The feedback current-steering DACs embedded in the current sources of the input Gm cell enable the recording IC to achieve a wide enough dynamic range to directly digitize the neural signals on top of stimulation artifacts while maintaining a moderately high input impedance. Moreover, the free-running frequency of the CCO-based integrator is set to be the optimum frequency of 0.49 times the sampling rate, thereby achieving high loop gain while utilizing inherent clocked averaging (CLA). Designed and post-layout simulated in a 65-nm process, the neural-recording IC achieves an SNDR of 76.3 dB over a signal bandwidth of 10 kHz while consuming low power of <inline-formula> <tex-math notation="LaTeX">$5.04~\mu $ </tex-math></inline-formula>W with a sufficiently wide linear input range of 200 mVPP.