Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron.
Maxime AmbardStefan RotterPublished in: Frontiers Comput. Neurosci. (2012)
Keyphrases
- pattern classification
- support vector
- large margin classifiers
- maximum margin
- learning machines
- spike trains
- feature extraction
- spiking neurons
- pattern recognition
- kernel function
- nearest neighbor rule
- fuzzy classifier
- neural network
- generalization ability
- hodgkin huxley
- probabilistic neural network
- radial basis function neural network
- svm classifier
- decision boundary
- vowel recognition
- radial basis function
- parzen window
- pattern classification problems
- feature selection
- classification accuracy
- synaptic weights
- support vectors
- hyperplane
- support vector machine
- mass spectrometry data
- machine learning