Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity.
Chankyu LeeGopalakrishnan SrinivasanPriyadarshini PandaKaushik RoyPublished in: IEEE Trans. Cogn. Dev. Syst. (2019)
Keyphrases
- convolutional neural network
- feed forward
- spiking neural networks
- spike trains
- face detection
- biologically plausible
- supervised training
- learning rules
- unsupervised learning
- deep architectures
- semi supervised
- bio inspired
- biologically inspired
- neural network
- deep learning
- data driven
- unsupervised manner
- hebbian learning
- training set
- spiking neurons
- supervised learning
- multilayer perceptron
- neural network model
- back propagation
- neuron model
- single neuron
- pos tagging
- synaptic plasticity
- data sets
- synaptic weights
- machine learning
- deep belief networks
- basal ganglia
- pairwise
- object detection
- detection method
- training process
- recurrent neural networks