2025-09-30 アメリカ合衆国・マサチューセッツ大学アマースト校
Fu and his colleagues have built the first artificial neurons that can interface directly with living ones. Credit: Jun Yao.
<関連情報>
- https://www.umass.edu/news/article/umass-engineers-create-first-artificial-neurons-could-directly-communicate-living
- https://www.nature.com/articles/s41467-025-63640-7
生物学的価値に包括的に一致する機能パラメータを持つ人工ニューロンの構築 Constructing artificial neurons with functional parameters comprehensively matching biological values
Shuai Fu,Hongyan Gao,Siqi Wang,Xiaoyu Wang,Trevor Woodard,Zhien Wang,Jing Kong,Derek R. Lovley & Jun Yao
Nature Communications Published:29 September 2025
DOI:https://doi.org/10.1038/s41467-025-63640-7
Abstract
The efficient signal processing in biosystems is largely attributed to the powerful constituent unit of a neuron, which encodes and decodes spatiotemporal information using spiking action potentials of ultralow amplitude and energy. Constructing devices that can emulate neuronal functions is thus considered a promising step toward advancing neuromorphic electronics and enhancing signal flow in bioelectronic interfaces. However, existent artificial neurons often have functional parameters that are distinctly mismatched with their biological counterparts, including signal amplitude and energy levels that are typically an order of magnitude larger. Here, we demonstrate artificial neurons that not only closely emulate biological neurons in functions but also match their parameters in key aspects such as signal amplitude, spiking energy, temporal features, and frequency response. Moreover, these artificial neurons can be modulated by extracellular chemical species in a manner consistent with neuromodulation in biological neurons. We further show that an artificial neuron can connect to a biological cell to process cellular signals in real-time and interpret cell states. These results advance the potential for constructing bio-emulated electronics to improve bioelectronic interface and neuromorphic integration.
