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000270187 1001_ $$0P:(DE-2719)9001354$$aChan, Chi Wai$$b0$$eFirst author$$udzne
000270187 245__ $$aFuture avenues in Drosophila mushroom body research.
000270187 260__ $$aPlainview, NY$$bCold Spring Harbor Laboratory Press$$c2024
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000270187 520__ $$aHow does the brain translate sensory information into complex behaviors? With relatively small neuronal numbers, readable behavioral outputs, and an unparalleled genetic toolkit, the Drosophila mushroom body (MB) offers an excellent model to address this question in the context of associative learning and memory. Recent technological breakthroughs, such as the freshly completed full-brain connectome, multiomics approaches, CRISPR-mediated gene editing, and machine learning techniques, led to major advancements in our understanding of the MB circuit at the molecular, structural, physiological, and functional levels. Despite significant progress in individual MB areas, the field still faces the fundamental challenge of resolving how these different levels combine and interact to ultimately control the behavior of an individual fly. In this review, we discuss various aspects of MB research, with a focus on the current knowledge gaps, and an outlook on the future methodological developments required to reach an overall view of the neurobiological basis of learning and memory.
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000270187 650_2 $$2MeSH$$aMushroom Bodies: physiology
000270187 650_2 $$2MeSH$$aAnimals
000270187 650_2 $$2MeSH$$aDrosophila: physiology
000270187 650_2 $$2MeSH$$aMemory: physiology
000270187 650_2 $$2MeSH$$aAssociation Learning: physiology
000270187 7001_ $$aChen, Nannan$$b1
000270187 7001_ $$00000-0002-0513-330X$$aHernandez, John$$b2
000270187 7001_ $$00000-0002-5625-9957$$aMeltzer, Hagar$$b3
000270187 7001_ $$00000-0001-5618-2286$$aPark, Annie$$b4
000270187 7001_ $$00000-0003-3170-1101$$aStahl, Aaron$$b5
000270187 773__ $$0PERI:(DE-600)2022057-1$$a10.1101/lm.053863.123$$gVol. 31, no. 5, p. a053863 -$$n5$$pa053863$$tLearning & memory$$v31$$x1072-0502$$y2024
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