Relaxation Time of Multipore Nanofluidic Memristors for Neuromorphic Applications

TL;DR

This paper investigates the relaxation time of multipore nanofluidic memristors through impedance spectroscopy, demonstrating their potential to mimic neural dynamics for neuromorphic computing.

Contribution

It introduces a method to measure the kinetic relaxation time of nanofluidic memristors and links this property to neural system behavior.

Findings

Relaxation time measured via impedance spectra.

Memristor behavior comparable to natural neural systems.

Potential for mimicking neuron characteristics.

Abstract

Memristors have been positioned at the forefront of the purposes for carrying out neuromorphic computation. Their tuneable conductivity properties enable the imitation of synaptic behaviour. Multipore nanofluidic memristors have shown their memristic properties and are candidate devices for liquid neuromorphic systems. Such properties are visible through an inductive hysteresis in the current-voltage sweeps, which is then confirmed by the inductive characteristics in impedance spectroscopy measurements. The dynamic behaviour of memristors is largely determined by a voltage-dependent relaxation time. Here, we obtain the kinetic relaxation time of a multipore nanofluidic memristor via its impedance spectra. We show that the behaviour of this characteristic of memristors is comparable to that of natural neural systems. Hence, we open a way to study the mimic of neuron characteristics by searching for memristors with the same kinetic times.