Accelerated Simulation of Multi-Electrode Arrays Using Sparse and Low-Rank Matrix Techniques
Computational acceleration techniques described in this manuscript were developed for simulation of high-resolution photovoltaic retinal prostheses, but they are also immediately applicable to any circuits involving dense connections between nodes, and, with modifications, more generally to any systems involving non-sparse matrices.
Authors
- Anna Kochnev Goldstein (ORCID: https://orcid.org/0000-0003-4674-688X)
- Nathan K. Jensen (ORCID: https://orcid.org/0009-0002-4281-0493)
- Daniel Palanker (ORCID: https://orcid.org/0000-0002-0480-3025)
- Zhijie Chen (ORCID: https://orcid.org/0000-0003-2705-065X)
Institutions
- Stanford University (US)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/tbme.2025.3541489
- Citations
- 1
- Primary Topic
- Electromagnetic Compatibility and Noise Suppression
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- U.S. Department of Defense
- National Institutes of Health