An Imbalanced R-STDP Learning Rule in Spiking Neural Networks for Medical Image Classification.
Qian ZhouCong RenSaibing QiPublished in: IEEE Access (2020)
Keyphrases
- spiking neural networks
- image classification
- learning rules
- biologically inspired
- artificial neural networks
- neural network
- image features
- spiking neurons
- feed forward
- biologically plausible
- feature extraction
- image representation
- learning mechanism
- training algorithm
- back propagation
- motor control
- learning scheme
- learning strategies
- neural nets
- radial basis function
- high dimensional
- training data
- image sequences
- computer vision
- learning algorithm