English

Spike-timing-dependent-plasticity learning in a planar magnetic domain wall artificial synapsis

Applied Physics 2024-09-13 v1 Emerging Technologies

Abstract

Future neuromorphic architectures will require millions of artificial synapses, making understanding the physical mechanisms behind their plasticity functionalities mandatory. In this work, we propose a simplified spin memristor, where the resistance can be controlled by magnetic field pulses, based on a Co/Pt multilayer with perpendicular magnetic anisotropy as a synapsis emulator. We demonstrate plasticity and spike time dependence plasticity (STDP) in this device and explored the underlying magnetic mechanisms using Kerr microscopy imaging and Hall magneto-transport measurements. A well-defined threshold for magnetization reversal and the continuous resistance states associated with the micromagnetic configuration are the basic properties allowing plasticity and STDP learning mechanisms in this device.

Keywords

Cite

@article{arxiv.2409.08055,
  title  = {Spike-timing-dependent-plasticity learning in a planar magnetic domain wall artificial synapsis},
  author = {J. O. Castro and B. Buyatti and D. Mercado and A. Di Donato and M. Quintero and M. Tortarolo},
  journal= {arXiv preprint arXiv:2409.08055},
  year   = {2024}
}

Comments

7 pages, 5 figures research paper

R2 v1 2026-06-28T18:42:31.397Z