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Ultra-fast artificial neuron: generation of picosecond-duration spikes in a current-driven antiferromagnetic auto-oscillator

机译:超快速人工神经元:在电流驱动的反铁磁自动振荡器中产生皮秒持续时间尖峰

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摘要

We demonstrate analytically and numerically, that a thin film of an antiferromagnetic (AFM) material, having biaxial magnetic anisotropy and being driven by an external spin-transfer torque signal, can be used for the generation of ultra-short “Dirac-delta-like” spikes. The duration of the generated spikes is several picoseconds for typical AFM materials and is determined by the inplane magnetic anisotropy and the effective damping of the AFM material. The generated output signal can consist of a single spike or a discrete group of spikes (“bursting”), which depends on the repetition (clock) rate, amplitude, and shape of the external control signal. The spike generation occurs only when the amplitude of the control signal exceeds a certain threshold, similar to the action of a biological neuron in response to an external stimulus. The “threshold” behavior of the proposed AFM spike generator makes possible its application not only in the traditional microwave signal processing but also in the future neuromorphic signal processing circuits working at clock frequencies of tens of gigahertz.
机译:我们在数字上和数值上展示,具有双轴磁各向异性并由外部自旋转印扭矩信号驱动的反铁磁(AFM)材料的薄膜可用于产生超短的“DIRAC-DELTA类似的“尖峰。所产生的尖峰的持续时间是用于典型AFM材料的几种皮秒,并且由完整的磁各向异性和AFM材料的有效阻尼决定。所产生的输出信号可以由单个尖峰或离散的尖峰组(“爆发”)组成,这取决于重复(时钟)速率,幅度和外部控制信号的形状。仅当控制信号的幅度超过某个阈值时,才发生尖峰产生,类似于生物神经元的作用响应于外部刺激。所提出的AFM尖峰发电机的“阈值”行为不仅可以在传统的微波信号处理中的应用,而且在传统的微波信号处理中,还可以在未来的神经形状信号处理电路中工作,该过程在数十吉格赫茨的时钟频率下工作。

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