Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:A5L-D
Session:
Number:A5L-D-02
Time-Series Classification in Micropatterned Neuronal Network Reservoirs
Takuma Sumi , Hideaki Yamamoto , Yuichi Katori , Koki Ito , Shigeo Sato , Ayumi Hirano-Iwata,
pp.173-175
Publication Date:12/12/2022
Online ISSN:2188-5079
Summary:
Reservoir computing provides a novel framework to understand how the dynamics within biological neuronal networks (BNNs) is linked to information processing. Here, we used micropatterned substrates to fabricate BNNs with modular topology, one of the important structural features of brain networks, and realized a reservoir system with the modular BNN. Using image and time-series classification tasks, we evaluated the reservoir computing properties of the BNN reservoirs. The results show that modularity facilitates the separation between the trajectories of the neuronal responses to different spatial patterns, pointing to the functional advantage of the animals to modular topology within the nervous systems.