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Efficient sensory cortical coding optimizes pursuit eye movements

Author

Listed:
  • Bing Liu

    (The University of Chicago)

  • Matthew V. Macellaio

    (The University of Chicago)

  • Leslie C. Osborne

    (The University of Chicago
    The University of Chicago)

Abstract

In the natural world, the statistics of sensory stimuli fluctuate across a wide range. In theory, the brain could maximize information recovery if sensory neurons adaptively rescale their sensitivity to the current range of inputs. Such adaptive coding has been observed in a variety of systems, but the premise that adaptation optimizes behaviour has not been tested. Here we show that adaptation in cortical sensory neurons maximizes information about visual motion in pursuit eye movements guided by that cortical activity. We find that gain adaptation drives a rapid (

Suggested Citation

  • Bing Liu & Matthew V. Macellaio & Leslie C. Osborne, 2016. "Efficient sensory cortical coding optimizes pursuit eye movements," Nature Communications, Nature, vol. 7(1), pages 1-10, November.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12759
    DOI: 10.1038/ncomms12759
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    Cited by:

    1. Joseph A Lombardo & Matthew V Macellaio & Bing Liu & Stephanie E Palmer & Leslie C Osborne, 2018. "State dependence of stimulus-induced variability tuning in macaque MT," PLOS Computational Biology, Public Library of Science, vol. 14(10), pages 1-28, October.

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