ArticleeLife2018
Variance adaptation in navigational decision making.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- CRASH2p: Closed-loop Two Photon Imaging in a Freely Moving Animal.bioRxiv : the preprint server for biology · 2024Article
- Temporal novelty detection and multiple timescale integration drive Drosophila orientation dynamics in temporally diverse olfactory environments.PLoS computational biology · 2023Article
- Linking neural circuits to the mechanics of animal behavior inFrontiers in neural circuits · 2023Review
- Multi-neuronal recording in unrestrained animals with all acousto-optic random-access line-scanning two-photon microscopy.Frontiers in neuroscience · 2023Article
- Multisensory correlation computations in the human brain identified by a time-resolved encoding model.Nature communications · 2022Article
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- Useful road maps: studying Drosophila larva's central nervous system with the help of connectomics.Current opinion in neurobiology · 2020Review
- Mini-brain computations converting dynamic olfactory inputs into orientation behavior.Current opinion in neurobiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Sensory systems relay information about the world to the brain, which enacts behaviors through motor outputs. To maximize information transmission, sensory systems discard redundant information through adaptation to the mean and variance of the environment. The behavioral consequences of sensory adaptation to environmental variance have been largely unexplored. Here, we study how larval fruit flies adapt sensory-motor computations underlying navigation to changes in the variance of visual and olfactory inputs. We show that variance adaptation can be characterized by rescaling of the sensory input and that for both visual and olfactory inputs, the temporal dynamics of adaptation are consistent with optimal variance estimation. In multisensory contexts, larvae adapt independently to variance in each sense, and portions of the navigational pathway encoding mixed odor and light signals are also capable of variance adaptation. Our results suggest multiplication as a mechanism for odor-light integration.
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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.