ArticleNature communications2016
Efficient sensory cortical coding optimizes pursuit eye movements.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- The Constrained Disorder Principle May Account for Consciousness.Brain sciences · 2024Review
- A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex.Neuron · 2021Article
- Partial Adaptation to the Value Range in the Macaque Orbitofrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Article
- State dependence of stimulus-induced variability tuning in macaque MT.PLoS computational biology · 2018Article
- Beyond Trial-Based Paradigms: Continuous Behavior, Ongoing Neural Activity, and Natural Stimuli.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Optimal coding and neuronal adaptation in economic decisions.Nature communications · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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 (<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.
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Registered trials
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