Identification of Signal Source Neurons in Micro-Networks through High-Density Measurements
Fundamental properties of neuronal networks at the single-cell level can be understood by comprehensively capturing the activity of all neurons within the network. In this study, we constructed micro-networks on a high- density micro electrode array (HD-MEA) and performed electrical measurements of all neurons using a densely packed electrode configuration. We mapped the activity of individual neurons with cell positions on stained images.
Authors
- Yasuhiko Jimbo (ORCID: https://orcid.org/0009-0004-6005-5043)
- Kenta Shimba (ORCID: https://orcid.org/0000-0003-1156-260X)
- Kiyoshi Kotani
- Y. Yamagishi
Institutions
- The University of Tokyo (JP)
Publication Details
- Journal
- IEEJ Transactions on Electronics Information and Systems
- Published
- 2025-08-31
- DOI
- https://doi.org/10.1541/ieejeiss.145.849
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00