Octopamine and tyramine dynamics predict learning rate phenotypes during associative conditioning in honey bees.

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Bibliographic Details
Title: Octopamine and tyramine dynamics predict learning rate phenotypes during associative conditioning in honey bees.
Authors: Sands LP; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia 24016, USA., Lei H; School of Life Sciences, Arizona State University, Tempe, Arizona 85281, USA., Batten SR; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia 24016, USA., Hartle A; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia 24016, USA.; School of Neuroscience, Virginia Tech, Blacksburg, Virginia 24061, USA., Lohrenz T; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia 24016, USA., Barbosa L; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia 24016, USA., Bang D; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia 24016, USA.; Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark., Dayan P; Max Planck Institute for Biological Cybernetics, Tubingen, Germany.; University of Tubingen, Tubingen, Germany., Howe WM; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia 24016, USA.; School of Neuroscience, Virginia Tech, Blacksburg, Virginia 24061, USA., Smith BH; School of Life Sciences, Arizona State University, Tempe, Arizona 85281, USA., Montague PR; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia 24016, USA.; Department of Physics, Virginia Tech, Blacksburg, Virginia 24061, USA.
Source: Science advances [Sci Adv] 2026 Feb 13; Vol. 12 (7), pp. eaea8433. Date of Electronic Publication: 2026 Feb 11.
Publication Type: Journal Article
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2375-2548
DOI:10.1126/sciadv.aea8433