An Area-Efficient, DC-Coupled VCO-Based CT ΔΣM with Input-TR-DAC for Neural Recording

Woobean Lee, Yoontae Jung, Hyuntak Jeon, Jimin Koo, Sein Oh, Soon Jae Kweon, Minkyu Je

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a neural recording integrated circuit (IC) with a DC-coupled VCO-based continuous-time ΔΣ modulator with a novel input transistor ΔΣ digital-to-analog converter (DAC) technique. The input transistor operating as a transconductor is implemented in the form of a transistor DAC (TR-DAC) consisting of multiple transistors, which enables the ΔΣ operation according to the output digital code. Notably, this topology isolates the input from the feedback loop, resulting in exceptionally high input impedance. Furthermore, the input transistor itself functions as a ΔΣ DAC, eliminating the need for additional passive or active DAC components. Consequently, the proposed design significantly reduces area consumption, enabling its application to future scalable brain-machine-interface (BMI) systems. The proposed IC designed in a 0.18-μm CMOS process consumes only 4.7 μW with a bandwidth of 5.12 kHz. Thanks to its DC-coupling characteristics and small input parasitic capacitance, the design achieves a high input impedance of 1.26 GΩ. Furthermore, the chip occupies a compact area of 0.054 mm2 per channel, while the input TR-DAC used as a ΔΣ DAC occupies only 0.008

Original languageEnglish
Title of host publicationISCAS 2024 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350330991
DOIs
StatePublished - 2024
Event2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024 - Singapore, Singapore
Duration: 19 May 202422 May 2024

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024
Country/TerritorySingapore
CitySingapore
Period19/05/2422/05/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Neural recording
  • VCO-based quantizer
  • area efficiency
  • input impedance
  • input transistor DAC
  • ΔΣM

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