@inproceedings{9bd5e74cd40142fe9c7cc6d527397d00,
title = "Automated Distributed Element Model Generation for Neural Interface Co-Design",
abstract = "We present a scripted distributed element modeling framework to enable process-portable co-design of neural recording and stimulation circuits and other applications that require co-design with an electrode-electrolyte interface. Using distributed elements enables designers to simulate the spatial voltage and current profiles in tissue to determine key parameters such as stimulator voltage headroom, stimulation artifact, and charge-balance. Designers specify 2D or 3D physical parameters of the electrode configuration in MATLAB, which in turn generates a netlist in Cadence Virtuoso for simulation with circuitry. Using this framework, we show that time-domain artifact cancellation techniques outperform frequency-domain techniques for concurrent neural recording and stimulation.",
keywords = "electrode interface, neural recording, neural stimulation, neuromodulation",
author = "Tala, {F. N.U.} and Mehdi Bandali and Johnson, {Benjamin C.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 63rd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2020 ; Conference date: 09-08-2020 Through 12-08-2020",
year = "2020",
month = aug,
doi = "10.1109/MWSCAS48704.2020.9184671",
language = "English",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "917--920",
booktitle = "2020 IEEE 63rd International Midwest Symposium on Circuits and Systems, MWSCAS 2020 - Proceedings",
}