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arXiv · 1402.4029

Connecting Spiking Neurons to a Spiking Memristor Network Changes the Memristor Dynamics

Deborah Gater·Attya Iqbal·Jeffrey Davey·Ella Gale
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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.

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Deborah Gater, Attya Iqbal, Jeffrey Davey, Ella Gale. 2014-02-17. Connecting Spiking Neurons to a Spiking Memristor Network Changes the Memristor Dynamics. https://arxiv.org/abs/1402.4029

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