Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation.
Andrew W. StephanBrian GardnerSteven J. KoesterAndré GrüningPublished in: CoRR (2020)
Keyphrases
- back propagation
- spiking neural networks
- feed forward
- supervised learning
- artificial neural networks
- training algorithm
- learning rules
- learning algorithm
- neural network
- neural nets
- spiking neurons
- biologically plausible
- multilayer perceptron
- bp algorithm
- bp neural network
- hidden layer
- feed forward neural networks
- biologically inspired
- fuzzy logic
- backpropagation neural network
- multilayer perceptron neural network
- backpropagation algorithm
- reinforcement learning
- visual cortex
- training set
- activation function
- feedforward neural networks
- recurrent neural networks
- active learning
- generalization error
- training data
- machine learning
- backpropagation neural networks
- multilayer neural network
- semi supervised
- learning tasks
- real time
- knowledge base