2020
DOI: 10.1101/2020.06.27.174656
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A conserved role for sleep in supporting spatial learning in Drosophila

Abstract: Sleep loss and aging impair hippocampus-dependent spatial learning in mammalian systems.Here we use the fly Drosophila melanogaster to investigate the relationship between sleep and spatial learning in healthy and impaired flies. The spatial learning assay is modeled after the Morris Water Maze. The assay uses a 'thermal maze' consisting of a 5X5 grid of Peltier plates maintained at 36-37C and a visual panorama. The first trial begins when a single tile that is associated with a specific visual cue is cooled … Show more

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Cited by 4 publications
(2 citation statements)
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“…Summary: vector computations in the FB The discussion above supports the notion that the FB network has the computational capacity to compute, store, and read out vectors in support of goal-directed navigational behaviors. While we have focused on path integration as a canonical vector-based computation, Drosophila are known to perform several other behaviors that may rely on the formation of goal vectors, including: local search, a path-integration-based foraging strategy (Corrales-Carvajal et al, 2016;Dethier, 1957;Kim and Dickinson, 2017); menotaxis, where a constant heading is maintained relative to an arbitrary goal direction to generate straight trajectories that support long-distance dispersal (Giraldo et al, 2018;Green et al, 2019;Leitch et al, 2020); place learning, which requires associating visual cues with the presence of a cool spot in an otherwise hot 2D environment (Melnattur et al, 2020;Ofstad et al, 2011); and the detour paradigm, where flies orient towards directions associated with attractive landmarks even after they have disappeared (Neuser et al, 2008). In addition, ethologically-based studies in behaving insects have established a range of vector-based behaviors, from long distance migrations that require a time-compensated sun compass (Heinze and Reppert, 2011;Perez et al, 1997) to the waggle dance that bees use to communicate the distance and direction of a food source (Frisch, 1967).…”
Section: Summary: Translational Velocity Computationmentioning
confidence: 99%
“…Summary: vector computations in the FB The discussion above supports the notion that the FB network has the computational capacity to compute, store, and read out vectors in support of goal-directed navigational behaviors. While we have focused on path integration as a canonical vector-based computation, Drosophila are known to perform several other behaviors that may rely on the formation of goal vectors, including: local search, a path-integration-based foraging strategy (Corrales-Carvajal et al, 2016;Dethier, 1957;Kim and Dickinson, 2017); menotaxis, where a constant heading is maintained relative to an arbitrary goal direction to generate straight trajectories that support long-distance dispersal (Giraldo et al, 2018;Green et al, 2019;Leitch et al, 2020); place learning, which requires associating visual cues with the presence of a cool spot in an otherwise hot 2D environment (Melnattur et al, 2020;Ofstad et al, 2011); and the detour paradigm, where flies orient towards directions associated with attractive landmarks even after they have disappeared (Neuser et al, 2008). In addition, ethologically-based studies in behaving insects have established a range of vector-based behaviors, from long distance migrations that require a time-compensated sun compass (Heinze and Reppert, 2011;Perez et al, 1997) to the waggle dance that bees use to communicate the distance and direction of a food source (Frisch, 1967).…”
Section: Summary: Translational Velocity Computationmentioning
confidence: 99%
“…Fortunately, it is these features that promote the development of sleep in the Drosophila model. The age‐dependent cognitive decline in spatial learning was studied in flies of different ages, and it was found that enhanced sleep can reverse learning impairment concurrent with DA intervention (Melnattur et al, 2021). In addition, in the caffeine‐induced sleepless Drosophila model, increasing the synthesis of GABA could improve sleep behaviour and the improvement depended on elevating the expression of GABA receptors (Jo, 2018).…”
Section: Introductionmentioning
confidence: 99%