Unconventional resistive switching in dense Ag-based nanowire networks with brain-inspired perspectives

TL;DR

This paper explores an unconventional resistive switching effect in dense Ag-nanowire networks, revealing their potential for brain-inspired computing by demonstrating tunable resistance states and neuronal-like behaviors.

Contribution

It introduces a fuse-like operation mechanism in dense Ag-nanowire networks and links their electrical signatures to neural computation features.

Findings

Resistive switching exhibits fuse-like behavior in Ag-nanowire networks.

Networks show tunable resistance states and synaptic-like coding.

Non-linear and sparse network behaviors resemble neuronal features.

Abstract

We report an unconventional resistive switching effect on high-density self-assembled Ag-nanowire networks tailored by a fuse-like operation. We propose a mechanism to rationalize the observed phenomenology by analyzing the electrical signatures before and after such a fusing. The explanation allows reconciling the results obtained in similar systems early adopted as transparent electrodes and the more recent attempts to use this type of substrate for in-materia computational operations. In addition to the usual analog nature of the available resistance states and the ability to tune internal weights, we show that these networks' sparsity and non-linear behavior are also attributes. Thus, the formerly exhibited nanowires' abilities to code synaptic behavior are complemented by neuronal features upon properly tuning the network density and the applied electrical protocol.