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...
| Main Authors: | , , , , , , , , , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
Nature Publishing Group
2023-07-01
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| 丛编: | Microsystems & Nanoengineering |
| 在线阅读: | https://doi.org/10.1038/s41378-023-00566-4 |