ArticlePloS one2016
Fly Photoreceptors Encode Phase Congruency.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Adaptive state-feedback echo state networks for temporal sequence learning.Scientific reports · 2026Article
- Biological Basis and Computer Vision Applications of Image Phase Congruency: A Comprehensive Survey.Biomimetics (Basel, Switzerland) · 2024Review
- Sparse identification of contrast gain control in the fruit fly photoreceptor and amacrine cell layer.Journal of mathematical neuroscience · 2020Article
- Effects of phase correlations in naturalistic stimuli on quantitative information coding by fly photoreceptors.Journal of neurophysiology · 2018Article
- How a fly photoreceptor samples light information in time.The Journal of physiology · 2017Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
More than five decades ago it was postulated that sensory neurons detect and selectively enhance behaviourally relevant features of natural signals. Although we now know that sensory neurons are tuned to efficiently encode natural stimuli, until now it was not clear what statistical features of the stimuli they encode and how. Here we reverse-engineer the neural code of Drosophila photoreceptors and show for the first time that photoreceptors exploit nonlinear dynamics to selectively enhance and encode phase-related features of temporal stimuli, such as local phase congruency, which are invariant to changes in illumination and contrast. We demonstrate that to mitigate for the inherent sensitivity to noise of the local phase congruency measure, the nonlinear coding mechanisms of the fly photoreceptors are tuned to suppress random phase signals, which explains why photoreceptor responses to naturalistic stimuli are significantly different from their responses to white noise stimuli.
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Registered trials
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