论文标题
神经形态谐振隧道二极管的破裂和兴奋性
Bursting and excitability in neuromorphic resonant tunneling diodes
论文作者
论文摘要
我们在本文中研究了量子纳米元素谐振隧道二极管（RTDS）的动力学作为可激发的神经形态尖峰发生器。我们披露了RTD创建可兴奋的全有或全无的尖峰的机制，并确定了RTD发出随机数量紧密堆积的尖峰的爆发状态。后者的控制对于事件激活的神经形态感测和计算中的应用至关重要。最后，我们讨论了RTD作为内存的多稳定性制度。我们的结果可以扩展到表现出负差分电导率的其他设备。
We study in this paper the dynamics of quantum nanoelectronic resonant tunneling diodes (RTDs) as excitable neuromorphic spike generators. We disclose the mechanisms by which the RTD creates excitable all-or-nothing spikes and we identify a regime of bursting in which the RTD emits a random number of closely packed spikes. The control of the latter is paramount for applications in event-activated neuromorphic sensing and computing. Finally, we discuss a regime of multi-stability in which the RTD behaves as a memory. Our results can be extended to other devices exhibiting negative differential conductance.
