ArticleSTAR protocols2021
Optimized protocol for conditioned place avoidance learning in juvenile zebrafish.
Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
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Who cites it
4 citing papers in PubMed.
- zAcademy: an open-source programmable conditioning arena reveals sex- and genotype-dependent avoidance learning in adult zebrafish.bioRxiv : the preprint server for biology · 2026Article
- Topographically organized dorsal raphe activity modulates forebrain sensory-motor representations and contributes to defensive behaviors.Nature communications · 2026Article
- Inhibition mediated by group III metabotropic glutamate receptors regulates habenula activity and defensive behaviors.Nature communications · 2025Article
- Ongoing habenular activity is driven by forebrain networks and modulated by olfactory stimuli.Current biology : CB · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Conditioned place avoidance assays are broadly used in mammals to study different cognitive aspects of operant learning. Here, we introduce a series of experimental designs for training juvenile zebrafish in short-term and long-term conditioned place avoidance assays. Our goal is to promote standardization of animal handling procedures and setup conditions to improve animal welfare and reproducibility while studying operant learning behaviors in juvenile zebrafish. For complete details on the use and execution of this protocol, please refer to Palumbo et al. (2020).
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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.