Synaptic transistor with multiple biological functions based on metal-organic frameworks combined with the LIF model of a spiking neural network to recognize temporal information

Synaptic transistor with multiple biological functions based on metal-organic frameworks combined with the LIF model of a spiking neural network to recognize temporal information

Abstract Spiking neural networks (SNNs) have immense potential due to their utilization of synaptic plasticity and ability to take advantage of temporal correlation and low power consumption. The leaky integration and firing (LIF) model and spike-timing-dependent plasticity (STDP) are the fundamenta...

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Bibliographic Details
Main Authors: Qinan Wang, Chun Zhao, Yi Sun, Rongxuan Xu, Chenran Li, Chengbo Wang, Wen Liu, Jiangmin Gu, Yingli Shi, Li Yang, Xin Tu, Hao Gao, Zhen Wen
Format: Article
Language:English
Published: Nature Publishing Group 2023-07-01
Series:Microsystems & Nanoengineering
Online Access:https://doi.org/10.1038/s41378-023-00566-4

Internet

https://doi.org/10.1038/s41378-023-00566-4

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