A Noise-Efficient Neural Recording Amplifier Using Discrete-Time Parametric Amplification
2018
Abstract
This letter proposes an instrumentation amplifier for neural recording applications whose measured noise efficiency factor (NEF) is 2.2. A discrete-time parametric amplifier is adopted as a preamplification stage to lower the input-referred noise, thus improving the NEF. The additional induced sampling noise is minimized by oversampling, and the power overhead for switching is minimized by adopting an 8-phase soft-charging technique.
Details
Title
A Noise-Efficient Neural Recording Amplifier Using Discrete-Time Parametric Amplification
Author(s)
Jang, Taekwang ; Lim, Jongyup ; Choo, Kyojin ; Nason, Samuel ; Lee, Jeongsup ; Oh, Sechang ; Chestek, Cynthia ; Sylvester, Dennis ; Blaauw, David
Published in
IEEE Solid-State Circuits Letters
Volume
1
Issue
11
Pages
203-206
Date
2018
Publisher
IEEE
ISSN
2573-9603
Keywords
Other identifier(s)
DOI: https://doi.org/10.1109/LSSC.2019.2897866
Laboratories
MSIC-LAB
Record Appears in
Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > MSIC-LAB - Mixed-Signal Integrated Circuits Lab
Scientific production and competences > EPFL Partners > Neuchâtel Campus > MSIC-LAB - Mixed-Signal Integrated Circuits Lab
Peer-reviewed publications
Work outside EPFL
Journal Articles
Published
Scientific production and competences > EPFL Partners > Neuchâtel Campus > MSIC-LAB - Mixed-Signal Integrated Circuits Lab
Peer-reviewed publications
Work outside EPFL
Journal Articles
Published
Record creation date
2022-04-01