Constructing artificial neurons with functional parameters comprehensively matching biological values.

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 aspec

SUBMITTER: Fu S 

PROVIDER: S-EPMC12480988 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature