A Voltage-controlled MTJ-CMOS Neuron Emulating Tunable Izhikevich-Inspired Dynamics

Kayode Oluwaseyi Adebunmi; Jordan Athas; Allison Fleming; Hamed Poursiami; Giorgio A. Ascoli; Maryam Parsa; Pedram Khalili Amiri; Akhilesh R Jaiswal

arXiv · 2609.32031

A Voltage-controlled MTJ-CMOS Neuron Emulating Tunable Izhikevich-Inspired Dynamics

Kayode Oluwaseyi Adebunmi·Jordan Athas·Allison Fleming·Hamed Poursiami·Giorgio A. Ascoli·Maryam Parsa·Pedram Khalili Amiri·Akhilesh R Jaiswal

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Abstract

Biological neurons exhibit diverse firing dynamics that enable adaptive and stimulus-dependent signalling, yet reproducing these dynamics in hardware has remained an enduring challenge. In this work, we present an Izhikevich- inspired reconfigurable neuron that co-designs voltage-controlled magnetic tunnel junction (V-MTJ) dynamics with CMOS circuitry. The proposed architecture combines V-MTJ excitability dynamics, enabled by a tunable energy landscape, with CMOS recovery dynamics to generate five distinct neuronal firing pat- terns with different spiking, bursting and response characteristics. Our results, based on measured V-MTJ characteristics and circuit simulations using com- mercial GlobalFoundries 22-nm FD-SOI CMOS technology, show an average energy consumption of 145.44 fJ per spike. Algorithmic simulations further show that these firing dynamics reduce inference spike activity by up to 88.6% while maintaining baseline classification accuracy. These results highlight the potential of V-MTJ/CMOS reconfigurable neurons to reduce computational activity and enable compact, energy-efficient brain-inspired computing systems.

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Kayode Oluwaseyi Adebunmi, Jordan Athas, Allison Fleming, Hamed Poursiami, Giorgio A. Ascoli, Maryam Parsa, Pedram Khalili Amiri, Akhilesh R Jaiswal. 2026-09-25. A Voltage-controlled MTJ-CMOS Neuron Emulating Tunable Izhikevich-Inspired Dynamics. https://arxiv.org/abs/2609.32031

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