Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity.
Benjamin DummerStefan WielandBenjamin LindnerPublished in: Frontiers Comput. Neurosci. (2014)
Keyphrases
- power spectrum
- neural network
- single neuron
- spike trains
- frequency domain
- natural images
- spiking neurons
- frequency analysis
- functional connectivity
- power spectral
- artificial neural networks
- spectral estimation
- control algorithm
- activation function
- sparse representation
- back propagation
- density function
- neural network model
- signal noise ratio
- multilayer perceptron
- feature extraction
- network architecture
- multi layer perceptron
- mixture model
- maximum likelihood
- image processing
- computer vision