Memristor-Based Edge Detection for Spike Encoded Pixels

Frontiers in Neuroscience

关键词: memristor;    edge detection;    computer vision;    spiking neural networks;    neuromorphic computing;   

DOI  :  10.3389/fnins.2019.01386

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown