Hybrid neural networks in the mushroom body drive olfactory preference in Drosophila.
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| Title: | Hybrid neural networks in the mushroom body drive olfactory preference in Drosophila. |
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| Authors: | Cheng LS; Department of Physics, National Tsing Hua University, Hsinchu 300043, Taiwan., Charng CC; Institute of Systems Neuroscience and Department of Life Science, National Tsing Hua University, Hsinchu 30013, Taiwan., Chen RH; Institute of Systems Neuroscience and Department of Life Science, National Tsing Hua University, Hsinchu 30013, Taiwan., Feng KL; Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan., Chiang AS; Institute of Systems Neuroscience and Department of Life Science, National Tsing Hua University, Hsinchu 30013, Taiwan.; Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan.; Kavli Institute for Brain and Mind, University of California San Diego, La Jolla, CA 92093-0526, USA.; Institute of Physics, Academia Sinica, Taipei 11529, Taiwan.; Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung 80780, Taiwan.; Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli 35053, Taiwan.; Graduate Institute of Clinical Medical Science, China Medical University, Taichung 40402, Taiwan., Lo CC; Institute of Systems Neuroscience and Department of Life Science, National Tsing Hua University, Hsinchu 30013, Taiwan.; Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan., Lee TK; Department of Physics, National Tsing Hua University, Hsinchu 300043, Taiwan.; Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan.; Institute of Physics, Academia Sinica, Taipei 11529, Taiwan. |
| Source: | Science advances [Sci Adv] 2025 May 30; Vol. 11 (22), pp. eadq9893. Date of Electronic Publication: 2025 May 30. |
| 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 |
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