Observation, characterization and modeling of memristor current spikes

Gale, Ella; de Lacy Costello, Ben; Adamatzky, Andrew

Abstract

Memristors have been compared to neurons (usually specifically the synapses) since 1976 but no experimental evidence has been offered for support for this position. Here we highlight that memristors naturally form fast-response, highly reproducible and repeatable current spikes which can be used in voltage-driven neuromorphic architecture. Ease of fitting current spikes with memristor theories both suggests that the spikes are part of the memristive effect and provides modeling capability for the design of neuromorphic circuits. © 2013 NSP Natural Sciences Publishing Cor.

• Journal Article Type: Article
• Publication Date: Jul 1, 2013
• Publicly Available Date: Jun 7, 2019
• Journal: Applied Mathematics and Information Sciences
• Print ISSN: 1935-0090
• Peer Reviewed: Not Peer Reviewed
• Volume: 7
• Issue: 4
• Pages: 1395-1403
• DOI: https://doi.org/10.12785/amis/070418
• Keywords: memristor, d.c., current transients, spikes, neuromorphic computing, neurons
• Public URL: https://uwe-repository.worktribe.com/output/930293
• Publisher URL: http://dx.doi.org/10.12785/amis/070418
• Related Public URLs: http://arxiv.org/abs/1302.0771