Applications of Information Theory to Analysis of Neural Data

@article{Schultz2014ApplicationsOI,
  title={Applications of Information Theory to Analysis of Neural Data},
  author={S. Schultz and R. Ince and S. Panzeri},
  journal={arXiv: Neurons and Cognition},
  year={2014},
  pages={199-203}
}
  • S. Schultz, R. Ince, S. Panzeri
  • Published 2014
  • Computer Science, Biology
  • arXiv: Neurons and Cognition
  • Information theory is a practical and theoretical framework developed for the study of communication over noisy channels. Its probabilistic basis and capacity to relate statistical structure to function make it ideally suited for studying information flow in the nervous system. It has a number of useful properties: it is a general measure sensitive to any relationship, not only linear effects; it has meaningful units which in many cases allow direct comparison between different experiments; and… CONTINUE READING
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    References

    SHOWING 1-10 OF 23 REFERENCES
    Extracting information from neuronal populations: information theory and decoding approaches
    • 628
    • PDF
    Open Source Tools for the Information Theoretic Analysis of Neural Data
    • 37
    • PDF
    Reproducibility and Variability in Neural Spike Trains
    • 686
    • PDF
    A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging.
    • 94
    • PDF
    Modelling and analysis of local field potentials for studying the function of cortical circuits
    • 501
    Estimating mutual information.
    • 2,063
    • PDF
    Spikes: Exploring the Neural Code
    • 2,721