ArticleNature communications2018
Fast intensity adaptation enhances the encoding of sound in Drosophila.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Article
- Encoding of antennal position and velocity by the Johnston's organ in hawkmoths.The Journal of experimental biology · 2025Article
- Article
- Article
- Complex dynamics of hair bundle of auditory nervous system (II): forced oscillations related to two cases of steady state.Cognitive neurodynamics · 2022Article
- Neural network organization for courtship-song feature detection in Drosophila.Current biology : CB · 2022Article
- Flexible filtering by neural inputs supports motion computation across states and stimuli.Current biology : CB · 2021Article
- Sparse identification of contrast gain control in the fruit fly photoreceptor and amacrine cell layer.Journal of mathematical neuroscience · 2020Article
- Shared Song Detector Neurons in Drosophila Male and Female Brains Drive Sex-Specific Behaviors.Current biology : CB · 2019Article
- Temporal processing properties of auditory DUM neurons in a bush-cricket.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019Article
- Online Detection of Multiple Stimulus Changes Based on Single Neuron Interspike Intervals.Frontiers in computational neuroscience · 2019Article
- Robust and Intensity-Dependent Synaptic Inhibition Underlies the Generation of Non-monotonic Neurons in the Mouse Inferior Colliculus.Frontiers in cellular neuroscience · 2019Article
- Article
- Functional Maps of Mechanosensory Features in the Drosophila Brain.Current biology : CB · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
To faithfully encode complex stimuli, sensory neurons should correct, via adaptation, for stimulus properties that corrupt pattern recognition. Here we investigate sound intensity adaptation in the Drosophila auditory system, which is largely devoted to processing courtship song. Mechanosensory neurons (JONs) in the antenna are sensitive not only to sound-induced antennal vibrations, but also to wind or gravity, which affect the antenna's mean position. Song pattern recognition, therefore, requires adaptation to antennal position (stimulus mean) in addition to sound intensity (stimulus variance). We discover fast variance adaptation in Drosophila JONs, which corrects for background noise over the behaviorally relevant intensity range. We determine where mean and variance adaptation arises and how they interact. A computational model explains our results using a sequence of subtractive and divisive adaptation modules, interleaved by rectification. These results lay the foundation for identifying the molecular and biophysical implementation of adaptation to the statistics of natural sensory stimuli.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.