Efficient sensory cortical coding optimizes pursuit eye movements.

Published online

Journal Article

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 (<100 ms) recovery of information after shifts in motion variance, because the neurons and behaviour rescale their sensitivity to motion fluctuations. Both neurons and pursuit rapidly adopt a response gain that maximizes motion information and minimizes tracking errors. Thus, efficient sensory coding is not simply an ideal standard but a description of real sensory computation that manifests in improved behavioural performance.

Full Text

Duke Authors

Cited Authors

  • Liu, B; Macellaio, MV; Osborne, LC

Published Date

  • September 9, 2016

Published In

Volume / Issue

  • 7 /

Start / End Page

  • 12759 -

PubMed ID

  • 27611214

Pubmed Central ID

  • 27611214

Electronic International Standard Serial Number (EISSN)

  • 2041-1723

Digital Object Identifier (DOI)

  • 10.1038/ncomms12759

Language

  • eng

Conference Location

  • England