Proceedings of the National Academy of SciencesAnimal Behavior & CognitionPeer-reviewed journal article
Uncovering multiscale structure in the variability of larval zebrafish navigation
Gautam SridhariD, Massimo VergassolaiD, João C. MarquesiD, Michael B. OrgeriD, Antonio Carlos CostaiD, Claire WyartiD
Abstract
Animals chain movements into long-lived motor strategies, resulting in variability that ultimately reflects the interplay between internal states and environmental cues. To reveal structure in such variability, we build models that bridges across time scales that enable a quantitative comparison of behavioral phenotypes among individuals. Applied to larval zebrafish exposed to diverse sensory cues, we uncover a hierarchy of long-lived motor strategies, dominated by changes in orientation distinguishing cruising and wandering strategies. Environmental cues induce preferences along these modes at the population level: while fish cruise in the light, they wander in response to aversive (dark) stimuli or in search for prey. Our method enables us to encode the behavioral dynamics of each individual fish in the transitions among coarse-grained motor strategies. By doing so, we uncover a hierarchical structure to the phenotypic variability that corresponds to exploration-exploitation trade-offs. Within a wide range of sensory cues, a major source of variation among fish is driven by prior and immediate exposure to prey that induces exploitation phenotypes. However, a large degree of variability is unexplained by environmental cues, pointing to hidden states that override the sensory context to induce contrasting exploration-exploitation phenotypes. Altogether, our approach extracts the timescales of motor strategies deployed during navigation, exposing undiscovered structure among individuals and pointing to internal states tuned by prior experience.
- organism: zebrafish
- assay: behavioral assay
- research focus: cell type annotation
- approach: statistical model
- Citations
- 15
- FWCI
- 2.27
- Field percentile
- top 12%
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