Deriving Receptive Fields Using an Optimal Encoding Criterion

@inproceedings{Linsker1992DerivingRF,
  title={Deriving Receptive Fields Using an Optimal Encoding Criterion},
  author={Ralph Linsker},
  booktitle={NIPS},
  year={1992}
}
An information-theoretic optimization principle ('infomax') has previously been used for unsupervised learning of statistical regularities in an input ensemble. The principle states that the inputoutput mapping implemented by a processing stage should be chosen so as to maximize the average mutual information between input and output patterns, subject to constraints and in the presence of processing noise. In the present work I show how infomax, when applied to a class of nonlinear input-output… CONTINUE READING
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