Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation.
Jason M. AllredSteven J. SpencerGopalakrishnan SrinivasanKaushik RoyPublished in: CoRR (2020)
Keyphrases
- spiking neural networks
- back propagation
- feed forward
- artificial neural networks
- multilayer perceptron
- training algorithm
- learning rules
- trained neural network
- backpropagation algorithm
- multilayer perceptron neural network
- neural network
- multilayer neural network
- neural models
- biologically plausible
- neural nets
- feed forward neural networks
- spiking neurons
- hebbian learning
- hidden layer
- biologically inspired
- bp algorithm
- bp neural network
- activation function
- learning algorithm
- recurrent neural networks
- neuron model
- feedforward neural networks
- fuzzy logic
- multi layer perceptron
- backpropagation neural networks
- high dimensional
- training process
- visual cortex
- genetic algorithm
- neural network model
- backpropagation neural network
- real time
- artificial intelligence
- decision making
- support vector
- training set
- latent variables
- radial basis function