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Identification of Axon Bendings in Neurons by Multiphysics FEM Simulations of High-Density MEA Extracellular Recordings

Leva F.
•
Corna A.
•
Werginz P.
altro
Selmi L.
2023
  • conference object

Abstract
A three-dimensional finite element method (FEM) simulation of a neuron (retinal ganglion cell) interfaced to a high-density CMOS-based microelectrode array (MEA) is performed and compared to recordings. The adopted multiscale simulation approach accurately reproduces the signals recorded by the patch clamp and the MEA sensors. The simulation leads us to identify bendings of the axon initial segment of a few neurons embedded in tissue, which are reported here for the first time.
DOI
10.1109/SENSORS56945.2023.10325212
WOS
WOS:001116741300361
Archivio
https://hdl.handle.net/11390/1271545
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85179760114
https://ricerca.unityfvg.it/handle/11390/1271545
Diritti
metadata only access
Soggetti
  • CMOS-MEA

  • Extracellular signal ...

  • FEM simulation

  • Neural recording

  • Retinal ganglion cell...

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