Applications of Information Theory to Analysis of Neural Data

  title={Applications of Information Theory to Analysis of Neural Data},
  author={S. Schultz and R. Ince and S. Panzeri},
  journal={arXiv: Neurons and Cognition},
  • 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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