ArticlePLoS computational biology2018
Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations.
Article in PLoS computational biology, 2018. 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
- Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality.eLife · 2023Article
- A Neural Model for Insect Steering Applied to Olfaction and Path Integration.Neural computation · 2022Article
- Sensing complementary temporal features of odor signals enhances navigation of diverse turbulent plumes.eLife · 2022Article
- Effects of Multi-Component Backgrounds of Volatile Plant Compounds on Moth Pheromone Perception.Insects · 2021Article
- Adaptive temporal processing of odor stimuli.Cell and tissue research · 2021Review
- The effect of inhibition on rate code efficiency indicators.PLoS computational biology · 2019Article
- Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth.Journal of the Royal Society, Interface · 2019Article
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Authors and funding
5 authors.
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Abstract
The efficient coding hypothesis predicts that sensory neurons adjust their coding resources to optimally represent the stimulus statistics of their environment. To test this prediction in the moth olfactory system, we have developed a stimulation protocol that mimics the natural temporal structure within a turbulent pheromone plume. We report that responses of antennal olfactory receptor neurons to pheromone encounters follow the temporal fluctuations in such a way that the most frequent stimulus timescales are encoded with maximum accuracy. We also observe that the average coding precision of the neurons adjusted to the stimulus-timescale statistics at a given distance from the pheromone source is higher than if the same encoding model is applied at a shorter, non-matching, distance. Finally, the coding accuracy profile and the stimulus-timescale distribution are related in the manner predicted by the information theory for the many-to-one convergence scenario of the moth peripheral sensory system.
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