Generating Realistic Meshes of Neuron Models
Brain cells, known as neurons, transmit electrical signals upon receiving sufficient stimulation. These signals can be modulated using device electric fields (E-fields) for therapeutic benefit. Treatments such as transcranial magnetic stimulation (TMS) rely on coils and electrodes to stimulate the brain, treating depression, smoking addiction, and obsessive-compulsive disorder. In silico models relying on our in-house adjoint boundary element method (BEM) solver can be used to fully couple membrane electric currents with device E-fields (Czerwonky et al, “Integral Equation for Analyzing Neuron Response to Non-invasive Electromagnetic Brain Stimulation,” ACES 2023). However, it requires watertight meshes of neuron geometry. We present several algorithms for generating meshes of realistic neuron morphologies and stimulating them using BEM.
Authors
- Luis J. Gomez (ORCID: https://orcid.org/0000-0002-7699-2160)
- Amanda J. Walenciak
Institutions
- Purdue University West Lafayette (US)
Publication Details
- Published
- 2025-05-18
- DOI
- https://doi.org/10.23919/aces66556.2025.11052538
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00