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Technical Review: Neural Recording Circuits for Bidirectional Neural Interface

  • Yoontae Jung
  • , Hyuntak Jeon
  • , Taeju Lee
  • , Ho Yong Seong
  • , Cheoljun Park
  • , Minkyu Je

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

2 Citations (Scopus)

Abstract

A variety of neurological therapeutic devices and brain machine interface applications have increased the need of closed-loop neuromodulation systems. The closed-loop system requires a bidirectional neural interface which can perform both recording and stimulation functions. In such a system, large artifacts caused by high-voltage stimulation strongly interfere the recording operation, which needs to acquire very weak neural signals. As a result, the dynamic range, or the span of the signal magnitude that can be read out by the recording circuit has become one of most important performance parameters. In this paper, state-of-the-art designs for low-power high-performance neural recording circuits are reviewed with an emphasis on the circuit techniques employed for achieving large dynamic range. Various recent circuit topologies and design approaches are compared with describing their advantages and disadvantages.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538658079
DOIs
Publication statusPublished - 28 Nov 2018
Event2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of
Duration: 24 Jun 201826 Jun 2018

Publication series

Name2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Conference

Conference2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Country/TerritoryKorea, Republic of
CityJeJu
Period24/06/1826/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Bidirectional neural interface
  • Dynamic range
  • Low power
  • Neural recording circuits
  • Neurological devices
  • Stimulation artifacts

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