Accuracy Measures for Neural Population Codes with Correlated Variability

@inproceedings{Yarrow2008AccuracyMF,
  title={Accuracy Measures for Neural Population Codes with Correlated Variability},
  author={Stuart Yarrow},
  year={2008}
}
Information theoretic measures such as the mutual information, and the recently proposed stimulus-specific information, provide a powerful tool for the study of the neural code. In practice, however, it is difficult to calculate these measures from experimental results due to the amount of data required. Fisher information, and derived quantities such as IFisher , are a popular alternative as they are relatively easy to compute. Here we apply these measures to population codes with cross… CONTINUE READING

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