Resonate and Fire Neuron with Fixed Magnetic Skyrmions
Md. Ali Azam, Dhritiman Bhattacharya, Damien Querlioz, Jayasimha, Atulasimha

TL;DR
This paper proposes a theoretical implementation of resonate-and-fire neurons using fixed magnetic skyrmions in magnetic tunnel junctions, demonstrating their potential for neuromorphic computing through resonant magnetization dynamics.
Contribution
It introduces a novel nanomagnetic neuron model utilizing skyrmion breathing modes controlled by voltage, with detailed micromagnetic simulations showing its resonant firing behavior.
Findings
Resonant firing occurs when input frequency matches skyrmion breathing mode.
The skyrmion-based neuron can produce spike outputs driven by electrical resistance changes.
Potential application in nanomagnetic associative memory arrays.
Abstract
In the brain, the membrane potential of many neurons oscillates in a subthreshold damped fashion and fire when excited by an input frequency that nearly equals their eigen frequency. In this work, we investigate theoretically the artificial implementation of such "resonate-and-fire" neurons by utilizing the magnetization dynamics of a fixed magnetic skyrmion in the free layer of a magnetic tunnel junction (MTJ). To realize firing of this nanomagnetic implementation of an artificial neuron, we propose to employ voltage control of magnetic anisotropy or voltage generated strain as an input (spike or sinusoidal) signal, which modulates the perpendicular magnetic anisotropy (PMA). This results in continual expansion and shrinking (i.e. breathing) of a skyrmion core that mimics the subthreshold oscillation. Any subsequent input pulse having an interval close to the breathing period or a…
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