AUTHOR=Mannion Daniel J. , Mehonic Adnan , Ng Wing H. , Kenyon Anthony J. 

TITLE=Memristor-Based Edge Detection for Spike Encoded Pixels

JOURNAL=Frontiers in Neuroscience

VOLUME=13

YEAR=2020

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2019.01386

DOI=10.3389/fnins.2019.01386

ISSN=1662-453X

ABSTRACT=<p>Memristors have many uses in machine learning and neuromorphic hardware. From memory elements in dot product engines to replicating both synapse and neuron wall behaviors, the memristor has proved a versatile component. Here we demonstrate an analog mode of operation observed in our silicon oxide memristors and apply this to the problem of edge detection. We demonstrate how a potential divider exploiting this analog behavior can prove a scalable solution to edge detection. We confirm its behavior experimentally and simulate its performance on a standard testbench. We show good performance comparable to existing memristor based work with a benchmark score of 0.465 on the BSDS500 dataset, while simultaneously maintaining a lower component count.</p>