A Wide-Dynamic-Range, DC-Coupled, Time-Based Neural-Recording IC With Optimized CCO Frequency

Donghyun Youn, Youngin Kim, Injun Choi, Yoontae Jung, Hyuntak Jeon, Kyungtae Lee, Soon Jae Kweon, Sohmyung Ha, Minkyu Je

Research output: Contribution to journalArticlepeer-review

Abstract

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 5.04μ W with a sufficiently wide linear input range of 200 mVPP.

Original languageEnglish (US)
Pages (from-to)94354-94366
Number of pages13
JournalIEEE Access
Volume12
DOIs
StatePublished - 2024

Keywords

  • Bidirectional neural interface
  • closed-loop neuromodulation
  • current-controlled oscillator (CCO)
  • linear input range
  • neural recording
  • optimization
  • time-based delta-sigma modulator (DSM)
  • wide dynamic range

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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