振幅
隧道磁电阻
编码(社会科学)
Spike(软件开发)
神经编码
磁场
物理
计算机科学
火车
神经科学
人工智能
凝聚态物理
数学
光学
生物
量子力学
铁磁性
统计
软件工程
地图学
地理
作者
Dong Ik Suh,Gi Yoon Bae,Heong Sik Oh,Wanjun Park
摘要
In this work, we present a synaptic transmission representing neural coding with spike trains by using a magnetic tunnel junction (MTJ). Telegraphic switching generates an artificial neural signal with both the applied magnetic field and the spin-transfer torque that act as conflicting inputs for modulating the number of spikes in spike trains. The spiking probability is observed to be weighted with modulation between 27.6% and 99.8% by varying the amplitude of the voltage input or the external magnetic field. With a combination of the reverse coding scheme and the synaptic characteristic of MTJ, an artificial function for the synaptic transmission is achieved.
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