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Lateral inhibition in magnetic domain wall racetrack arrays for neuromorphic computing

机译:磁畴壁跑马径阵列中的横向抑制,用于神经形态计算

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Neuromorphic computing captures the quintessential neural behaviors of the brain and is a promising candidate for the beyond-von Neumann computer architectures, featuring low power consumption and high parallelism. The neuronal lateral inhibition feature, closely associated with the biological receptive field, is crucial to neuronal competition in the nervous system as well as its neuromorphic hardware counterpart. The domain wall - magnetic tunnel junction (DW-MTJ) neuron is an emerging spintronic artificial neuron device exhibiting intrinsic lateral inhibition. This work discusses lateral inhibition mechanism of the DW-MTJ neuron and shows by micromagnetic simulation that lateral inhibition is efficiently enhanced by the Dzyaloshinskii-Moriya interaction (DMI).
机译:神经形态计算捕获了大脑的典型神经行为,是超越Neumann计算机架构的有希望的候选者,具有低功耗和高行性。与生物接待场密切相关的神经元横向抑制特征对神经系统中的神经元竞争以及其神经形态硬件对应至关重要。域壁 - 磁隧道结(DW-MTJ)神经元是一种出现具有内在横向抑制的新兴的旋转式人工神经元装置。该作品讨论了DW-MTJ神经元的横向抑制机制,并通过微磁性模拟显示,Dzyaloshinskii-Moriya相互作用(DMI)有效地增强了横向抑制。

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