Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity

Abstract

Nanoelectronic devices that mimic the functionality of synapses are a crucial requirement for performing cortical simulations of the brain. In this work we propose a ferromagnet-heavy metal heterostructure that employs spin-orbit torque to implement Spike-Timing Dependent Plasticity. The proposed device offers the advantage of decoupled spike transmission and programming current paths, thereby leading to reliable operation during online learning. Possible arrangement of such devices in a crosspoint architecture can pave the way for ultra-dense neural networks. Simulation studies indicate that the device has the potential of achieving pico-Joule level energy consumption (maximum 2 pJ per synaptic event) which is comparable to the energy consumption for synaptic events in biological synapses.

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Cited by in corpus (15)

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• Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction
• Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems
• Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets
• Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses
• Resonate and Fire Neuron with Fixed Magnetic Skyrmions
• All-Spin Bayesian Neural Networks
• Emerging spintronics phenomena and applications
• Voltage control of domain walls in magnetic nanowires for energy efficient neuromorphic devices
• Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses
• Stochastic Magnetoelectric Neuron for Temporal Information Encoding
• Easy-plane spin Hall oscillator