Published January 13, 2025 | Version v1
Journal article Open

Dynamic Control of Weight-Update Linearity in Magneto-Ionic Synapses

Authors/Creators

  • 1. Centre de Nanosciences et de Nanotechnologies, CNRS, Université Paris-Saclay, 91120 Palaiseau, France
  • 2. Singulus Technology AG, Hanauer Landstrasse 103, 63796 Kahl am Main, Germany
  • 3. Synchrotron SOLEIL, L'Orme des Merisiers, 91190 Saint-Aubin, France
  • 4. International Center for Synchrotron Radiation Innovation Smart, Tohoku University, Aoba-Ku, Sendai 980-8572, Japan
  • 5. ROR icon Centre de Nanosciences et de Nanotechnologies

Description

Multifunctional hardware technologies for neuromorphic computing are essential for replicating the complexity of biological neural systems, thereby improving the performance of artificial synapses and neurons. Integrating ionic and spintronic technologies offers new degrees of freedom to modulate synaptic potentiation and depression, introducing novel magnetic functionalities alongside the established ionic analogue behavior. We demonstrate that magneto-ionic devices can perform as synaptic elements with dynamically tunable depression linearity controlled by an external magnetic field, a functionality reminiscent of neuromodulation in biological systems. By applying magnetic fields we significantly reduce the nonlinearity of synaptic depression, transitioning from an exponential dependence to a linear response at higher fields. Neural network simulations reveal that this magnetically induced linearity enhancement improves learning accuracy across a wide range of learning rates, which is retained after the magnetic field is removed. These findings highlight the versatility and promise of magneto-ionic devices for developing tunable synaptic elements for neuromorphic hardware.

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Additional details

Funding

European Union
Metaspin 101098651

Dates

Available
2025-01-13