1. Spike-timing-dependent-plasticity learning in a planar magnetic domain wall artificial synapsis
- Author
-
Castro, J. O., Buyatti, B., Mercado, D., Di Donato, A., Quintero, M., and Tortarolo, M.
- Subjects
Physics - Applied Physics ,Computer Science - 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., Comment: 7 pages, 5 figures research paper
- Published
- 2024