Connecting spiking neurons to a spiking memristor network changes the memristor dynamics

Gater, Deborah; Iqbal, Attya; Davey, Jeffrey S.; Gale, Ella

Abstract

Memristors have been suggested as neuromorphic computing elements. Spike-time
dependent plasticity and the Hodgkin-Huxley model of the neuron have both been
modelled effectively by memristor theory. The d.c. response of the memristor is
a current spike. Based on these three facts we suggest that memristors are
well-placed to interface directly with neurons. In this paper we show that
connecting a spiking memristor network to spiking neuronal cells causes a
change in the memristor network dynamics by: removing the memristor spikes,
which we show is due to the effects of connection to aqueous medium; causing a
change in current decay rate consistent with a change in memristor state;
presenting more-linear $I-t$ dynamics; and increasing the memristor spiking
rate, as a consequence of interaction with the spiking neurons. This
demonstrates that neurons are capable of communicating directly with
memristors, without the need for computer translation.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: Proceedings of the International Conference on Electronics, Circuits and Systems (ICECS) 2013
• Start Date: Dec 8, 2013
• End Date: Dec 11, 2013
• Publication Date: Jan 1, 2013
• Peer Reviewed: Not Peer Reviewed
• Keywords: connecting, spiking neurons, spiking memristor, memristor dynamics
• Public URL: https://uwe-repository.worktribe.com/output/1436157
• Publisher URL: http://www.ieee-icecs2013.org/CallforPapers.html
• Related Public URLs: http://arxiv.org/abs/1402.4029v1
• Additional Information: Additional Information : Imported from arXiv; Title of Conference or Conference Proceedings : Proceedings of the International Conference on Electronics, Circuits and Systems (ICECS) 2013, Abu Dhabi