Fluidic memristor: Bringing chemistry to neuromorphic devices

Abstract

Neuromorphic devices, devices with resistance switch dynamic emulating the behavior of neurons, are experiencing a surge in development due to the demand for artificial intelligence and therapeutic devices such as neuroprosthetics.1 Toward reproducing the behaviors of neurons with artificial devices, neuromorphic devices based on two-terminal memristors (devices with a single-valued relationship between charge Q and magnetic flux φ, i.e., dφ = MdQ) with various mechanisms (e.g., redox, phase change, magnetic tunnelling, and ferroelectricity) have been developed for various applications, like in-memory computing or intelligent sensing.

Topics & Concepts