论文标题
基于biskyrmion的人工神经元具有耐火度
Biskyrmion-based artificial neuron with refractory period
论文作者
论文摘要
磁性天空是高度稳定的纳米级磁旋转，可以通过电流移动，这导致了具有泄漏 - 整合性火力功能的基于天际的人造神经元设备。但是，到目前为止，这些设备缺乏难治性过程，估计对神经元动力学至关重要。在这里，我们证明了基于比斯里米的人造神经元克服了这种不足。当由旋转轨道扭矩驱动时，单个biskyrmion将其分成两个子孔，它们向指定的位置移动，可以被电气检测到，类似于最终发射的神经元的激发过程。这两个天空的吸引人相互作用导致了独特的轨迹：一旦到达检测器区域，它们就会自动返回中心改革Biskyrmion，但要采取不同的路径。在这个重置期间，神经元无法再次开火。我们建议的设备类似于与迄今为止所有现有的人工设备更好的泄漏，整合，火灾和难治性特征的生物神经元。
Magnetic skyrmions are nanoscale magnetic whirls that are highly stable and can be moved by currents which has led to the prediction of a skyrmion-based artificial neuron device with leak-integrate-fire functionality. However, so far, these devices lack a refractory process, estimated to be crucial for neuronal dynamics. Here we demonstrate that a biskyrmion-based artificial neuron overcomes this insufficiency. When driven by spin-orbit torques, a single biskyrmion splits into two subskyrmions that move towards a designated location and can be detected electrically, resembling the excitation process of a neuron that fires ultimately. The attractive interaction of the two skyrmions leads to a unique trajectory: Once they reach the detector area, they automatically return to the center to reform the biskyrmion but on a different path. During this reset period, the neuron cannot fire again. Our suggested device resembles a biological neuron with the leak, integrate, fire and refractory characteristics better than all existing artificial devices so far.
