Nonuniform magnetic domain-wall synapses enabled by population coding

Abstract

Traditional artificial intelligence implemented in software is usually executed on accurate digital computers. Nevertheless, the nanoscale devices for the implementation of neuromorphic computing may not be ideally identical, and the performance is reduced by nonuniform devices. In biological brains, information is usually encoded by a cluster of neurons such that the variability of nerve cells does not influence the accuracy of human cognition and movement. Here, we introduce the population encoding strategy in neuromorphic computing and demonstrate that this strategy can overcome the problems caused by nonuniform devices. Using magnetic memristor device based on current-induced domain-wall motion as an example, we show that imperfect storage devices can be applied in a hardware network to perform principal component analysis (PCA), and the accuracy of unsupervised classification is comparable to that of conventional PCA using ideally accurate synaptic weights. Our results pave the way for hardware implementation of neuromorphic computing and lower the criteria for the uniformity of nanoscale devices.

arXiv comment5 figures

References in corpus (17)

• Spin torque switching with the giant spin Hall effect of tantalum
• The design and verification of Mumax3
• Spin transfer torque devices utilizing the giant spin Hall effect of tungsten
• Roles of non-equilibrium conduction electrons on magnetization dynamics of ferromagnets
• Micromagnetic understanding of current-driven domain wall motion in patterned nanowires
• Neuromorphic computing with multi-memristive synapses
• Spin torque building blocks
• Magnetic skyrmion artificial synapse for neuromorphic computing
• A conductive topological insulator with colossal spin Hall effect for ultra-low power spin-orbit-torque switching
• Microscopic approach to current-driven domain wall dynamics
• Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
• Tuning a binary ferromagnet into a multi-state synapse with spin-orbit torque induced plasticity
• Pattern recognition with neuromorphic computing using magnetic-field induced dynamics of skyrmions
• Coherent motion of stereocilia assures the concerted gating of hair-cell transduction channels
• Stochastic Computing Implemented by Skyrmionic Logic Devices
• The effect of disorder on transverse domain wall dynamics in magnetic nanostrips
• Anticipative Tracking with the Short-Term Synaptic Plasticity of Spintronic Devices