ArticlePLoS computational biology2013
Dynamical adaptation in photoreceptors.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed.
- A standard model for the vertebrate retina.Vision research · 2026Article
- The effect of differences in viewing environment and method on physiological responses and perceptual stability while viewing three-dimensional images.Environmental health and preventive medicine · 2026Article
- Adaptation to visual sparsity enhances responses to isolated stimuli.Current biology : CB · 2024Article
- Predictably manipulating photoreceptor light responses to reveal their role in downstream visual responses.eLife · 2024Article
- Predictably manipulating photoreceptor light responses to reveal their role in downstream visual responses.bioRxiv : the preprint server for biology · 2024Article
- Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation.Nature communications · 2024Article
- Disparate nonlinear neural dynamics measured with different techniques in macaque and human V1.Scientific reports · 2024Article
- Homeostasis at different backgrounds: The roles of overlayed feedback structures in vertebrate photoadaptation.PloS one · 2023Article
- Exploiting colour space geometry for visual stimulus design across animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Classical center-surround receptive fields facilitate novel object detection in retinal bipolar cells.Nature communications · 2022Article
- Excitatory and inhibitory neural dynamics jointly tune motion detection.Current biology : CB · 2022Article
- Suppression without inhibition: how retinal computation contributes to saccadic suppression.Communications biology · 2022Article
- Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration.PLoS computational biology · 2022Article
- Predicting and Manipulating Cone Responses to Naturalistic Inputs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- A theoretical model reveals specialized synaptic depressions and temporal frequency tuning in retinal parallel channels.Frontiers in computational neuroscience · 2022Article
- Nonlinear spatial integration in retinal bipolar cells shapes the encoding of artificial and natural stimuli.Neuron · 2021Article
- Article
- Object-Displacement-Sensitive Visual Neurons Drive Freezing in Drosophila.Current biology : CB · 2020Article
- Article
- A minimal synaptic model for direction selective neurons in Drosophila.Journal of vision · 2020Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Adaptation is at the heart of sensation and nowhere is it more salient than in early visual processing. Light adaptation in photoreceptors is doubly dynamical: it depends upon the temporal structure of the input and it affects the temporal structure of the response. We introduce a non-linear dynamical adaptation model of photoreceptors. It is simple enough that it can be solved exactly and simulated with ease; analytical and numerical approaches combined provide both intuition on the behavior of dynamical adaptation and quantitative results to be compared with data. Yet the model is rich enough to capture intricate phenomenology. First, we show that it reproduces the known phenomenology of light response and short-term adaptation. Second, we present new recordings and demonstrate that the model reproduces cone response with great precision. Third, we derive a number of predictions on the response of photoreceptors to sophisticated stimuli such as periodic inputs, various forms of flickering inputs, and natural inputs. In particular, we demonstrate that photoreceptors undergo rapid adaptation of response gain and time scale, over ∼ 300[Formula: see text] ms-i. e., over the time scale of the response itself-and we confirm this prediction with data. For natural inputs, this fast adaptation can modulate the response gain more than tenfold and is hence physiologically relevant.
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