ArticleScience advances2025
Attentional switching in larval zebrafish.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Experience-dependent modulation of collective behavior in larval zebrafish.Nature communications · 2026Article
- Behavioral algorithms of ontogenetic switching in larval and juvenile zebrafish phototaxis.iScience · 2026Article
- Developmental and genetic modulation of evidence integration dynamics in zebrafish sensorimotor decision-making.bioRxiv : the preprint server for biology · 2026Article
- Synchronization of behavioral and cardiac dynamics in larval zebrafish.Cell reports · 2026Article
- Astrocyte-induced internal state transitions reshape brainwide sensory, integrative, and motor computations.bioRxiv : the preprint server for biology · 2026Article
- CaMPARI2 enables stimulus-locked whole-brain activity mapping at cellular resolution in unrestrained larval zebrafish.Frontiers in molecular neuroscience · 2026Article
- CaMPARI2 Enables Stimulus-Locked Whole-Brain Activity Mapping at Cellular Resolution in Unrestrained Larval Zebrafish.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
Decision-making strategies in the face of conflicting or uncertain sensory input have been successfully described in many species. We analyze large behavioral datasets of larval zebrafish engaged in a "coherent dot" optomotor assay and find that animal performance is bimodal. Performance can be separated into two "states"-an engaged (attentive) state with high performance, where fish consistently turn in the direction of coherent motion, and a second, disengaged (inattentive) state, where performance drops to chance. A hidden Markov model is sufficient to model these transitions and can be incorporated into a drift-diffusion model framework that has previously been used to model perceptual decision-making in larval zebrafish. Furthermore, we fit a mixture model of performance distributions and extract two latent variables termed "focus" and "competence" that are largely influenced by parents and environmental context, respectively. This quantitative framework can potentially help to identify a genetic basis and a neural mechanism for attention that extends across organisms.
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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.