Semi-Supervised Learning for Spiking Neural Networks Based on Spike-Timing-Dependent Plasticity.
Jongseok LeeDonggyu SimPublished in: IEEE Access (2023)
Keyphrases
- spiking neural networks
- semi supervised learning
- biologically inspired
- semi supervised
- unlabeled data
- learning rules
- biologically plausible
- feed forward
- spiking neurons
- labeled data
- artificial neural networks
- unsupervised learning
- machine learning
- supervised learning
- semi supervised classification
- co training
- label propagation
- active learning
- neural network
- training algorithm
- training data
- radial basis function
- receptive fields
- back propagation
- visual cortex
- training set
- motor control