@article {64815,
	title = {Neuronal reactivation during post-learning sleep consolidates long-term memory in .},
	journal = {eLife},
	volume = {8},
	year = {2019},
	month = {2019 Feb 25},
	abstract = {<p>Animals consolidate some, but not all, learning experiences into long-term memory. Across the animal kingdom, sleep has been found to have a beneficial effect on the consolidation of recently formed memories into long-term storage. However, the underlying mechanisms of sleep dependent memory consolidation are poorly understood. Here, we show that consolidation of courtship long-term memory in is mediated by reactivation during sleep of dopaminergic neurons that were earlier involved in memory acquisition. We identify specific fan-shaped body neurons that induce sleep after the learning experience and activate dopaminergic neurons for memory consolidation. Thus, we provide a direct link between sleep, neuronal reactivation of dopaminergic neurons, and memory consolidation.</p>
},
	issn = {2050-084X},
	doi = {10.7554/eLife.42786},
	author = {Dag, Ugur and Lei, Zhengchang and Le, Jasmine Q and Wong, Allan and Bushey, Daniel and Keleman, Krystyna}
}
@article {48414,
	title = {The emergence of directional selectivity in the visual motion pathway of Drosophila.},
	journal = {Neuron},
	volume = {94},
	year = {2017},
	month = {2017 Apr 05},
	pages = {168-182.e10},
	abstract = {<p>The perception of visual motion is critical for animal navigation, and flies are a prominent model system for exploring this neural computation. In Drosophila, the T4 cells of the medulla are directionally selective and necessary for ON motion behavioral responses. To examine the emergence of directional selectivity, we developed genetic driver lines for the neuron types with the most synapses onto T4 cells. Using calcium imaging, we found that these neuron types are not directionally selective and that selectivity arises in the T4 dendrites. By silencing each input neuron type, we identified which neurons are necessary for T4 directional selectivity and ON motion behavioral responses. We then determined the sign of the connections between these neurons and T4 cells using neuronal photoactivation. Our results indicate a computational architecture for motion detection that is a hybrid of classic theoretical models.</p>
},
	issn = {1097-4199},
	doi = {10.1016/j.neuron.2017.03.010},
	author = {Strother, James A and Wu, Shiuan-Tze and Wong, Allan M and Nern, Aljoscha and Rogers, Edward M and Le, Jasmine Q and Rubin, Gerald M and Reiser, Michael B}
}
