ArticlePLoS computational biology2018
History dependence in insect flight decisions during odor tracking.
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 28 papers.
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Who cites it
28 citing papers in PubMed.
- Wind history shapes olfactory search response in free flyingbioRxiv : the preprint server for biology · 2026Article
- Cognitive primitives of the insect brain.Trends in cognitive sciences · 2026Review
- Inferring neural population codes forProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Octopus track chemosensory plumes to find food.PloS one · 2025Article
- Odour source distance is predictable from a time history of odour statistics for large scale outdoor plumes.Journal of the Royal Society, Interface · 2024Article
- Inferring neural dynamics of memory during naturalistic social communication.bioRxiv : the preprint server for biology · 2024Article
- Olfactory receptor neurons are sensitive to stimulus onset asynchrony: implications for odor source discrimination.Chemical senses · 2024Article
- Numerical Investigation of Odor-Guided Navigation in Flying Insects: Impact of Turbulence, Wingbeat-Induced Flow, and Schmidt Number on Odor Plume Structures.Biomimetics (Basel, Switzerland) · 2023Article
- Active smelling in the American cockroach.The Journal of experimental biology · 2023Article
- Extracting spatial information from temporal odor patterns: insights from insects.Current opinion in insect science · 2023Review
- Olfactory navigation in arthropods.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Review
- Temporal novelty detection and multiple timescale integration drive Drosophila orientation dynamics in temporally diverse olfactory environments.PLoS computational biology · 2023Article
- Near-surface wind variability over spatiotemporal scales relevant to plume tracking insects.Physics of fluids (Woodbury, N.Y. : 1994) · 2023Article
- Emergent behaviour and neural dynamics in artificial agents tracking odour plumes.Nature machine intelligence · 2023Article
- Behavioral algorithms and neural mechanisms underlying odor-modulated locomotion in insects.The Journal of experimental biology · 2023Review
- Article
- Olfactory Sensing and Navigation in Turbulent Environments.Annual review of condensed matter physics · 2022Article
- Sensing complementary temporal features of odor signals enhances navigation of diverse turbulent plumes.eLife · 2022Article
- Article
- The what and when of olfactory working memory in humans.Current biology : CB · 2021Article
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5 authors.
Funding
Abstract
Natural decision-making often involves extended decision sequences in response to variable stimuli with complex structure. As an example, many animals follow odor plumes to locate food sources or mates, but turbulence breaks up the advected odor signal into intermittent filaments and puffs. This scenario provides an opportunity to ask how animals use sparse, instantaneous, and stochastic signal encounters to generate goal-oriented behavioral sequences. Here we examined the trajectories of flying fruit flies (Drosophila melanogaster) and mosquitoes (Aedes aegypti) navigating in controlled plumes of attractive odorants. While it is known that mean odor-triggered flight responses are dominated by upwind turns, individual responses are highly variable. We asked whether deviations from mean responses depended on specific features of odor encounters, and found that odor-triggered turns were slightly but significantly modulated by two features of odor encounters. First, encounters with higher concentrations triggered stronger upwind turns. Second, encounters occurring later in a sequence triggered weaker upwind turns. To contextualize the latter history dependence theoretically, we examined trajectories simulated from three normative tracking strategies. We found that neither a purely reactive strategy nor a strategy in which the tracker learned the plume centerline over time captured the observed history dependence. In contrast, "infotaxis", in which flight decisions maximized expected information gain about source location, exhibited a history dependence aligned in sign with the data, though much larger in magnitude. These findings suggest that while true plume tracking is dominated by a reactive odor response it might also involve a history-dependent modulation of responses consistent with the accumulation of information about a source over multi-encounter timescales. This suggests that short-term memory processes modulating decision sequences may play a role in natural plume tracking.
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