A 2.2 NEF Neural-Recording Amplifier Using Discrete-Time Parametric Amplification
2018
Abstract
This paper proposes a 2.2 noise efficiency factor (NEF) instrumentation amplifier for neural recording applications. A parametric amplifier based on the MOS C-V characteristic is designed as a pre-amplifier stage, lowering the input referred noise of the following stages by 3.4 x Sampling noise is minimized by oversampling the input signal and switching power is reduced by adopting an 8-phase soft-charging technique.
Details
Title
A 2.2 NEF Neural-Recording Amplifier Using Discrete-Time Parametric Amplification
Author(s)
Jang, T. ; Lim, J. ; Choo, K. ; Nason, S. ; Lee, J. ; Oh, S. ; Jeong, S. ; Chestek, C. ; Sylvester, D. ; Blaauw, D.
Published in
2018 IEEE Symposium on VLSI Circuits proceedings
Pages
237-238
Conference
IEEE Symposium on VLSI Circuits, Honolulu, HI, USA, 18-22 June 2018
Date
2018
Publisher
IEEE
Other identifier(s)
DOI: https://doi.org/10.1109/VLSIC.2018.8502432
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
Conference Papers
Scientific production and competences > EPFL Partners > Neuchâtel Campus > MSIC-LAB - Mixed-Signal Integrated Circuits Lab
Peer-reviewed publications
Work outside EPFL
Conference Papers
Record creation date
2022-04-01