Analytical estimates of limited sampling biases in different information measures.

@article{Panzeri1996AnalyticalEO,
  title={Analytical estimates of limited sampling biases in different information measures.},
  author={Stefano Panzeri and Alessandro Treves},
  journal={Network},
  year={1996},
  volume={7 1},
  pages={
          87-107
        }
}
Measuring the information carried by neuronal activity is made difficult, particularly when recording from mammalian cells, by the limited amount of data usually available, which results in a systematic error. While empirical ad hoc procedures have been used to correct for such error, we have recently proposed a direct procedure consisting of the analytical calculation of the average error, its estimation (up to subleading terms) from the data, and its subtraction from raw information measures… CONTINUE READING

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