Unsupervised learning of synaptic delays based on learning automata in an RBF-like network of spiking neurons for data clustering.
Peyman AdibiMohammad Reza MeybodiReza SafabakhshPublished in: Neurocomputing (2005)
Keyphrases
- data clustering
- spiking neurons
- unsupervised learning
- learning automata
- spiking neural networks
- neuron model
- neural network
- supervised learning
- artificial neural networks
- reinforcement learning
- biologically plausible
- cluster analysis
- feed forward
- clustering algorithm
- radial basis function
- spike trains
- spectral clustering
- hebbian learning
- biologically inspired
- genetic algorithm
- input patterns
- semi supervised
- object recognition
- self organizing maps
- machine learning
- dimensionality reduction
- k means
- basis functions
- data sets
- feed forward neural networks
- graph partitioning
- model selection
- expectation maximization
- support vector machine
- learning process