@inproceedings{1f37493cb46545dc9acc839d6009e499,
title = "Multiphysics Finite-Element Modeling of the Neuron/Electrode Electrodiffusive Interaction",
abstract = "Understanding the biological-electrical transduction mechanisms is essential for reliable neural signal recording and feature extraction. As an alternative to state-of-the-art lumped-element circuit models, here we adopt a multiscale-multiphysics finite-element modeling framework. The model couples ion transport with the Hodgkin-Huxley model and the readout circuit, and is used to investigate a few relevant case studies. This approach is amenable to explore ion transport in the extracellular medium otherwise invisible to circuit model analysis.",
keywords = "neural recording, extracellular sensing, FEM, neural signal transduction, Hodgkin-Huxley, EQUIVALENT-CIRCUIT, RECORDINGS",
author = "F. Leva and C. Verardo and L.J. Mele and P. Palestri and L. Selmi",
note = "Funding Information: These authors contributed equally to the work. This work has been financially supported by the European Union's Horizon-2020 project {"}INFET{"} (Grant Agreement n. 862882) vie the IUNET consortium. Funding Information: †These authors contributed equally to the work. This work has been financially supported by the European Union{\textquoteright}s Horizon-2020 project “IN-FET” (Grant Agreement n. 862882) vie the IUNET consortium. Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE Sensors Conference ; Conference date: 30-10-2022 Through 02-11-2022",
year = "2022",
doi = "10.1109/SENSORS52175.2022.9967049",
language = "English",
isbn = "9781665484640",
series = "IEEE Sensors",
publisher = "IEEE",
pages = "1--4",
booktitle = "2022 IEEE SENSORS",
address = "United States",
}