Enhancing the Performance of Transformer-based Spiking Neural Networks by Improved Downsampling with Precise Gradient Backpropagation.
Chenlin ZhouHan ZhangZhaokun ZhouLiutao YuZhengyu MaHuihui ZhouXiaopeng FanYonghong TianPublished in: CoRR (2023)
Keyphrases
- back propagation
- spiking neural networks
- feed forward
- artificial neural networks
- training algorithm
- fuzzy logic
- neural network
- learning rules
- neural nets
- bp algorithm
- biologically plausible
- learning algorithm
- multilayer perceptron
- feed forward neural networks
- hidden layer
- bp neural network
- spiking neurons
- backpropagation neural networks
- feedforward neural networks
- backpropagation neural network
- biologically inspired
- activation function
- backpropagation algorithm
- neural network ensemble
- multilayer perceptron neural network
- recurrent neural networks
- fault diagnosis
- artificial intelligence
- visual cortex
- radial basis function
- feature space
- machine learning