Power-Law Inter-Spike Interval Distributions Infer a Conditional Maximization of Entropy in Cortical Neurons.
Yasuhiro TsuboYoshikazu IsomuraTomoki FukaiPublished in: PLoS Comput. Biol. (2012)
Keyphrases
- power law
- spiking neurons
- spike trains
- grey relation
- receptive fields
- visual cortex
- neuronal networks
- spiking neural networks
- biologically plausible
- scale free
- neural network
- primary visual cortex
- information theory
- feed forward
- hodgkin huxley
- mutual information
- small world
- orientation selective
- long range correlations
- biologically inspired
- degree distribution
- hebbian learning
- prefrontal cortex
- clustering coefficient
- information theoretic
- probabilistic logic programs
- hidden layer
- natural images
- power law distribution
- cortical areas
- basal ganglia
- visual processing
- cortical surface
- conditional probabilities
- back propagation
- artificial neural networks