Spike-timing-dependent-plasticity learning in a planar magnetic domain wall artificial synapsis
<|reference_start|>Spike-timing-dependent-plasticity learning in a planar magnetic domain wall artificial synapsis: 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.<|reference_end|>
@article{castro2024spike-timing-dependent-plasticity,
    title={Spike-timing-dependent-plasticity learning in a planar magnetic domain
  wall artificial synapsis},
    author={J. O. Castro, B. Buyatti, D. Mercado, A. Di Donato, M. Quintero and M.
  Tortarolo},
    journal={arXiv preprint arXiv:2409.08055},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.08055},
    primaryClass={physics.app-ph cs.ET}
}