Semi-Supervised Learning for Spiking Neural Networks Based on Spike-Timing-Dependent Plasticity
In this study, we propose a semi-supervised learning method for spiking neural networks based on spike-timing-dependent plasticity (STDP). The spiking neural network structure of the proposed method incorporates teacher neurons and synapses, which serve the same purpose as real-life teachers, who en...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10092845/ |