An Event-Driven SoC for Neural Recording

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Title: An Event-Driven SoC for Neural Recording
Authors: Luan, S
Liu, Y
Williams, I
Constandinou, TG
Item Type: Conference Paper
Abstract: This paper presents a novel 64-channel ultra-low power/low noise neural recording System-on-Chip (SoC) featuring a highly reconfigurable Analogue Front-End (AFE) and block-selectable data-driven output. This allows a tunable bandwidth/sampling rate for extracting Local Field Potentials (LFPs) and/or Extracellular Action Potentials (EAPs). Realtime spike detection utilises a dual polarity simple threshold to enable an event driven output for neural spikes (16-sample window). The 64-channels are organised into 16 sets of 4-channel recording blocks, with each block having a dedicated 10-bit SAR ADC that is time division multiplexed among the 4 channels. Each channel can be individually powered down and configured for bandwidth, gain and detection threshold. The output can thus combine continuous-streaming and event-driven data packets with the system configured as SPI slave. The SoC is implemented in a commercially-available 0.35u m CMOS technology occupying a silicon area of 19.1mm^2 (0.3mm^2 gross per channel) and requiring 32uW/channel power consumption (AFE only).
Issue Date: 26-Jan-2017
Date of Acceptance: 10-Aug-2016
Publisher: IEEE
Start Page: 404
End Page: 407
Journal / Book Title: IEEE Biomedical Circuits and Systems (BioCAS) Conference
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/I000569/1
RES/0560/7386 & EFXD12018
BH141353 (EP/M025977/1)
Conference Name: IEEE Biomedical Circuits and Systems (BioCAS) Conference
Keywords: Science & Technology
Computer Science, Information Systems
Engineering, Biomedical
Engineering, Electrical & Electronic
Computer Science
Publication Status: Published
Start Date: 2016-10-17
Finish Date: 2016-10-19
Conference Place: Shanghai, China
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

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