Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks.
Malu ZhangJiadong WangJibin WuAmmar BelatrecheBurin AmornpaisannonZhixuan ZhangVenkata Pavan Kumar MiriyalaHong QuYansong ChuaTrevor E. CarlsonHaizhou LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- back propagation
- potential functions
- spiking neural networks
- feed forward
- artificial neural networks
- training algorithm
- neural network
- learning rules
- hidden layer
- neural nets
- multilayer perceptron
- feed forward neural networks
- markov random field
- bp neural network
- biologically plausible
- pairwise
- backpropagation neural network
- synaptic weights
- biologically inspired
- spiking neurons
- fuzzy logic
- learning algorithm
- recurrent neural networks
- random fields
- activation function
- maximum entropy
- neural network model
- model selection
- least squares