Self-organization of neurons described by the maximum-entropy principle

@article{Grabec2004SelforganizationON,
  title={Self-organization of neurons described by the maximum-entropy principle},
  author={Igor Grabec},
  journal={Biological Cybernetics},
  year={2004},
  volume={63},
  pages={403-409}
}
In the article the maximum-entropy principle and Parzen windows are applied to derive an optimal mapping of a continuous into a descrete random variable. The mapping can be performed by a network of self-organizing information processing units similar to biological neurons. Each neuron is selectively sensitized to one prototype from the sample space of the discrete random variable. The continuous random variable is applied as the input signal exciting the neurons. The response of the network is… CONTINUE READING
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