Paper

How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation

Volume Number:
68
Issue Number:
12
Pages:
4837
–
4850
Publication Date:
November 2021

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Abstract

We present and experimentally validate two minimal compact memristive models for spiking neuronal signal generation using commercially available low-cost components. The first neuron model is called the Memristive Integrate-and-Fire (MIF) model, for neuronal signaling with two voltage levels: the spike-peak, and the rest-potential. The second model MIF2 is also presented, which promotes local adaptation by accounting for a third refractory voltage level during hyperpolarization. We show both compact models are minimal in terms of the number of circuit elements and integration area. Using the MIF and MIF2 models, we postulate the design of a memristive solid-state brain with an estimation of its surface area and power consumption. Analytical projections show that a memristive solid-state brain could be realized within (i) the surface area of the median human brain, 2,400cm 2 , (ii) the same volume of the median human brain, and (iii) a total power budget of approximately 20 W using a 3.5 nm technology. Distinct from the past decade of memristive neuron literature, our benchmarks are attained using generic commercially available memristors that are reproducible using off-the-shelf components. We expect this work can promote more experimental demonstrations of memristive circuits that do not rely on prohibitively expensive fabrication processes.

GBR
University of California, Santa Cruz, USA
Region 06 (Western U.S.)
Email
CHN
Peng Zhou
LuxiTech
Region 10 (Asia and Pacific)
Email
Website
DEU
Alon Ascoli
TU Dreden
Region 08 (Africa, Europe, Middle East)
Email
DEU
University of Dresden
Region 08 (Africa, Europe, Middle East)
Email
USA
University of Berkeley
Region 06 (Western U.S.)
Email