Imperial College London
Alternate

ProfessorHolgerKrapp

Faculty of Engineering, Department of Bioengineering

Professor of Systems Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 2014h.g.krapp Website

 
 
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Location

 

2.05Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yue:2018:10.1016/j.mejo.2018.01.022,
author = {Yue, X and Huang, JV and Krapp, HG and Drakakis, EM},
doi = {10.1016/j.mejo.2018.01.022},
journal = {Microelectronics Journal},
pages = {34--42},
title = {An implantable mixed-signal CMOS die for battery-powered in vivo blowfly neural recordings},
url = {http://dx.doi.org/10.1016/j.mejo.2018.01.022},
volume = {74},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A mixed-signal die containing two differential input amplifiers, a multiplexer and a 50KSPS, 10-bit SAR ADC, has been designed and fabricated in a 0.35μm CMOS process for in vivo neural recording from freely moving blowflies where power supplied voltage drops quickly due to the space/weight limited insufficient capacity of the battery. The designed neural amplifier has a 66 + dB gain, 0.13 Hz-5.3 KHz bandwidth and 0.39% THD. A 20% power supply voltage drop causes only a 3% change in amplifier gain and 0.9-bit resolution degrading for SAR ADC while the on-chip data modulation reduces the chip size, rendering the designed chip suitable for battery-powered applications. The fabricated die occupies 1.1 mm2 while consuming 238μW, being suitable for implantable neural recordings from insects as small as a blowfly for electrophysiological studies of their sensorimotor control mechanisms. The functionality of the die has been validated by recording the signals from identified interneurons in the blowfly visual system.
AU  - Yue,X
AU  - Huang,JV
AU  - Krapp,HG
AU  - Drakakis,EM
DO  - 10.1016/j.mejo.2018.01.022
EP  - 42
PY  - 2018///
SN  - 0026-2692
SP  - 34
TI  - An implantable mixed-signal CMOS die for battery-powered in vivo blowfly neural recordings
T2  - Microelectronics Journal
UR  - http://dx.doi.org/10.1016/j.mejo.2018.01.022
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000427900800004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/67312
VL  - 74
ER  -
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