An Unsupervised Spiking Deep Neural Network for Object Recognition.
Zeyang SongXi WuMengwen YuanHuajin TangPublished in: ISNN (2) (2019)
Keyphrases
- object recognition
- neural network
- neuron model
- feed forward
- unsupervised learning
- deep architectures
- back propagation
- spiking neurons
- hebbian learning
- learning rules
- supervised learning
- feed forward neural networks
- bio inspired
- computer vision
- competitive learning
- self organizing maps
- spiking neural networks
- neural nets
- artificial neural networks
- template matching
- visual object recognition
- single neuron
- image understanding
- deep belief networks
- d objects
- genetic algorithm
- network architecture
- constrained search
- deep learning
- neural network is trained
- activation function
- hidden layer
- recurrent neural networks
- neural network model
- natural images
- weakly supervised
- neural models
- object class
- object categories
- semi supervised
- knn
- unsupervised manner
- basal ganglia
- machine learning