• Mathematics, Medicine, Computer Science
• Published in Neural Networks 2005
• DOI:10.1016/j.neunet.2004.12.004

Information theory, novelty and hippocampal responses: unpredicted or unpredictable?

@article{Strange2005InformationTN,
  title={Information theory, novelty and hippocampal responses: unpredicted or unpredictable?},
  author={Bryan A. Strange and Andrew Duggins and William D. Penny and Raymond J. Dolan and Karl J. Friston},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2005},
  volume={18 3},
  pages={
          225-30
        }
}

• Bryan A. Strange, Andrew Duggins, +2 authors Karl J. Friston

Shannon's information theory provides a principled framework for the quantitative analysis of brain responses during the encoding and representation of event streams. In particular, entropy measures the expected uncertainty of events in a given context. This contextual uncertainty or unpredictability may, itself, be important for balancing [bottom-up] sensory information and [top-down] prior expectations during perceptual synthesis. Using event-related functional magnetic resonance imaging… CONTINUE READING

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