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同步尖峰纳米振荡器中的随机转变。

Stochastic transition in synchronized spiking nanooscillators.

作者信息

Qiu Erbin, Salev Pavel, Torres Felipe, Navarro Henry, Dynes Robert C, Schuller Ivan K

机构信息

Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093.

Department of Physics, Center for Advanced Nanoscience, University of California San Diego, La Jolla, CA 92093.

出版信息

Proc Natl Acad Sci U S A. 2023 Sep 19;120(38):e2303765120. doi: 10.1073/pnas.2303765120. Epub 2023 Sep 11.

Abstract

This work reports that synchronization of Mott material-based nanoscale coupled oscillators can be drastically different from that in conventional oscillators. We investigated the synchronization of spiking nanooscillators mediated by thermal interactions due to the close physical proximity of the devices. Controlling the driving voltage enables in-phase 1:1 and 2:1 integer synchronization modes between neighboring oscillators. Transition between these two integer modes occurs through an unusual stochastic synchronization regime instead of the loss of spiking coherence. In the stochastic synchronization regime, random length spiking sequences belonging to the 1:1 and 2:1 integer modes are intermixed. The occurrence of this stochasticity is an important factor that must be taken into account in the design of large-scale spiking networks for hardware-level implementation of novel computational paradigms such as neuromorphic and stochastic computing.

摘要

这项工作表明,基于莫特材料的纳米级耦合振荡器的同步可能与传统振荡器的同步有很大不同。由于器件在物理上非常接近,我们研究了由热相互作用介导的尖峰纳米振荡器的同步。通过控制驱动电压,可以使相邻振荡器之间实现同相1:1和2:1整数同步模式。这两种整数模式之间的转换是通过一种不寻常的随机同步机制发生的,而不是尖峰相干性的丧失。在随机同步机制中,属于1:1和2:1整数模式的随机长度尖峰序列相互混合。这种随机性的出现是在设计用于神经形态和随机计算等新型计算范式的硬件级大规模尖峰网络时必须考虑的一个重要因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd07/10515151/1e2aabe58cb1/pnas.2303765120fig01.jpg

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