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.

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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
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article

Identification of Signal Source Neurons in Micro-Networks through High-Density Measurements

Yasuhiko Jimbo, Kenta Shimba, Kiyoshi Kotani, Y. Yamagishi
IEEJ Transactions on Electronics Information and Systems
Neural Networks and Applications
article

Identification of Signal Source Neurons in Micro-Networks through High-Density Measurements

Yasuhiko Jimbo, Kenta Shimba, Kiyoshi Kotani, Y. Yamagishi
article en

Abstract

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.

IEEJ Transactions on Electronics Information and SystemsVol. 145(9)
The University of Tokyo (JP)
Openalex Percentile: Top 88%
Neural Networks and Applications
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