Cited by 330Analog and Mixed-Signal Circuit DesignNeuroscience and Neural EngineeringRadio Frequency Integrated Circuit Design

The Design of Integrated Circuits to Observe Brain Activity

Harrison, R.R.·2008·Proceedings of the IEEE

Abstract

The ability to monitor the simultaneous electrical activity of multiple neurons in the brain enables a wide range of scientific and clinical endeavors. Recent efforts to merge miniature multielectrode neural recording arrays with integrated electronics have revealed significant circuit design challenges. Weak neural signals must be amplified and filtered using low-noise circuits placed close to the electrodes themselves, but power dissipation must strictly be limited to prevent tissue damage due to local heating. In modern recording systems with 100 or more electrodes, raw data rates of 15 Mb/s or more are easily produced. Micropower wireless telemetry circuits cannot transmit information at such high rates, so data reduction must be performed in the implanted device. In this paper, we present integrated circuits and design techniques that address the twin problems of neural signal amplification and data reduction for this severely size- and power-limited application.

Integrity signals

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Crossref · 10.1109/jproc.2008.922581

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  • The front-end amplifier should have the lowest input-referred noise and higher gain than later stages because the input-referred noise of later stages is referred back to the electrodes through this amplifier's gain.

    “This amplifier should have the lowest input-referred noise and higher gain than the subsequent stages, as the RTI noise of all subsequent stages are referred back to the electrodes through the gain of this amplifier [52].”
  • The most common front-end amplifier for IC neural recordings was first proposed by Najafi and Wise and later refined by Harrison to its present circuit.

    “The most common front-end amplifier for IC neural recordings was first proposed by Najafi and Wise [89] and then further refined by Harrison [52] to its present circuit shown in Fig. 4.”

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References 53 · Cited by 330

Authors
Harrison, R. R.
Affiliations
University of Utah (US)
Corresponding author
Harrison, R.R.
Venue
Proceedings of the IEEE
Published
2008-07
Volume
96
Issue
7
Pages
1203-1216
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W2153636199
Cited by
330
References
53
Citations by year
2026: 4 · 2025: 11 · 2024: 11 · 2023: 12 · 2022: 17 · 2021: 21 · 2020: 24 · 2019: 17 · 2018: 19 · 2017: 15 · 2016: 22 · 2015: 32 · 2014: 19 · 2013: 20 · 2012: 23
FWCI
13.70
Type
journal article
Language
en
Open access
closed
Locations
  • Proceedings of the IEEE (publishedVersion)
  • Proceedings of the IEEE
Funders
University of Utah
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Radio Frequency Integrated Circuit Design
Keywords
neural signal amplification, low-noise circuits, low power design, data reduction, wireless telemetry, high-speed data transmission, brain activity monitoring

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