# Memristors for the Curious Outsiders

## TL;DR

This paper provides an overview and perspective on recent experimental advances and new approaches in using memristors for computation, aimed at guiding nonpractitioners in the field.

## Contribution

It offers a comprehensive overview of memristor physics, recent experimental progress, and potential applications in machine learning and neural computation.

## Key findings

- Recent experimental advances in memristor technology
- Proposed new approaches to memristive computation
- Connection of memristors to machine learning and neural networks

## Abstract

We present both an overview and a perspective of recent experimental advances and proposed new approaches to performing computation using memristors. A memristor is a 2-terminal passive component with a dynamic resistance depending on an internal parameter. We provide an brief historical introduction, as well as an overview over the physical mechanism that lead to memristive behavior. This review is meant to guide nonpractitioners in the field of memristive circuits and their connection to machine learning and neural computation.