Statistical Mechanics of Unsupervised Hebbian Learning

@inproceedings{ShapiroDepartment1995StatisticalMO,
  title={Statistical Mechanics of Unsupervised Hebbian Learning},
  author={Jonathan L. ShapiroDepartment},
  year={1995}
}
  • Jonathan L. ShapiroDepartment
  • Published 1995
A model describing the dynamics of the synaptic weights of a single neuron performing Hebbian learning is described. The neuron is repeatedly excited by a set of input patterns. Its response is modeled as a continuous, nonlinear function of its excitation. We study how the model forms a self-organized representation of the set of input patterns. The dynamical equations are solved directly in a few simple cases. The model is studied for random patterns by a signal to noise analysis, and by… CONTINUE READING

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