@inproceedings{Paraskevopoulou:2012:10.1109/ISCAS.2012.6271651,
author = {Paraskevopoulou, SE and Constandinou, TG},
doi = {10.1109/ISCAS.2012.6271651},
title = {An Ultra-Low-Power Front-End Neural Interface with Automatic Gain for Uncalibrated Monitoring},
url = {http://dx.doi.org/10.1109/ISCAS.2012.6271651},
year = {2012}
}

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TY  - CPAPER
AB  - This paper presents a dynamic front-end towards achieving unsupervised single-neuron activity monitoring. By implementing at the front-end, an automatic gain control that is optimised for neural signal dynamics, subsequent processing can be achieved without the need for calibration. The system uses three amplification stages (low-noise first stage, variable-gain second stage and high-gain third stage), a tuneable high-pass filter, and a feedback loop to tune the variable gain. The circuit has been implemented in a commercially-available 0.18um CMOS technology with total power consumption between 1.79 and 1.95$uW$ The front-end achieves a variable gain from 52 to 86.4dB with 3kHz bandwidth and a high-pass filter that is tuneable from 100-300Hz. The input referred noise is 9.66uV with a total harmonic distortion of under 1%.
AU  - Paraskevopoulou,SE
AU  - Constandinou,TG
DO  - 10.1109/ISCAS.2012.6271651
PY  - 2012///
SN  - 0271-4302
TI  - An Ultra-Low-Power Front-End Neural Interface with Automatic Gain for Uncalibrated Monitoring
UR  - http://dx.doi.org/10.1109/ISCAS.2012.6271651
UR  - http://hdl.handle.net/10044/1/9772
ER  - 

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