@article {65637,
	title = {Identification of dopaminergic neurons that can both establish associative memory and acutely terminate its behavioral expression.},
	journal = {Journal of Neuroscience},
	volume = {40},
	year = {2020},
	month = {2020 Jul 29},
	pages = {5990-6006},
	abstract = {<p>An adaptive transition from exploring the environment in search of vital resources to exploiting these resources once the search is successful is important to all animals. Here we study the neuronal circuitry that allows larval of either sex to negotiate this exploration-exploitation transition. We do so by combining Pavlovian conditioning with high-resolution behavioral tracking, optogenetic manipulation of individually identified neurons, and EM-data-based analyses of synaptic organization. We find that optogenetic activation of the dopaminergic neuron DAN-i1 can both establish memory during training, and acutely terminate learned search behavior in a subsequent recall test. Its activation leaves innate behavior unaffected, however. Specifically, DAN-i1 activation can establish associative memories of opposite valence upon paired and unpaired training with odor, and its activation during the recall test can terminate the search behavior resulting from either of these memories. Our results further suggest that in its behavioral significance DAN-i1 activation resembles but does not equal sugar reward. Dendrogram analyses of all the synaptic connections between DAN-i1 and its two main targets, the Kenyon cells and the mushroom body output neuron MBON-i1, further suggest that the DAN-i1 signals during training and during the recall test could be delivered to the Kenyon cells and to MBON-i1, respectively, within previously unrecognized, locally confined branching structures. This would provide an elegant circuit motif to terminate search upon its successful completion.In the struggle for survival animals have to explore their environment in search of food. Once food is found, however, it is adaptive to prioritize exploiting it over continuing a search that would now be as pointless as searching for the glasses you are wearing. This exploration-exploitation trade-off is important for animals and humans, as well as for technical search devices. We investigate which of the only 10,000 neurons of a fruit fly larva can tip the balance in this trade-off, and identify a single dopamine neuron called DAN-i1 that can do so. Given the similarities in dopamine neuron function across the animal kingdom, this may reflect a general principle of how search is terminated once it is successful.</p>
},
	issn = {1529-2401},
	doi = {10.1523/JNEUROSCI.0290-20.2020},
	author = {Schleyer, Michael and Weiglein, Ali{\'c}e and Thoener, Juliane and Strauch, Martin and Hartenstein, Volker and Kantar Weigelt, Melisa and Schuller, Sarah and Saumweber, Timo and Eichler, Katharina and Rohwedder, Astrid and Merhof, Dorit and Zlatic, Marta and Thum, Andreas S and Gerber, Bertram}
}
@article {48937,
	title = {larvalign: Aligning gene expression patterns from the larval brain of Drosophila melanogaster.},
	journal = {Neuroinformatics},
	volume = {16},
	year = {2018},
	month = {2018 Jan 1},
	pages = {65-80},
	abstract = {<p>The larval brain of the fruit fly Drosophila melanogaster is a small, tractable model system for neuroscience. Genes for fluorescent marker proteins can be expressed in defined, spatially restricted neuron populations. Here, we introduce the methods for 1) generating a standard template of the larval central nervous system (CNS), 2) spatial mapping of expression patterns from different larvae into a reference space defined by the standard template. We provide a manually annotated gold standard that serves for evaluation of the registration framework involved in template generation and mapping. A method for registration quality assessment enables the automatic detection of registration errors, and a semi-automatic registration method allows one to correct registrations, which is a prerequisite for a high-quality, curated database of expression patterns. All computational methods are available within the larvalign software package: https://github.com/larvalign/larvalign/releases/tag/v1.0.</p>
},
	issn = {1559-0089},
	doi = {10.1007/s12021-017-9349-6},
	author = {Muenzing, Sascha E A and Strauch, Martin and Truman, James W and B{\"u}hler, Katja and Thum, Andreas S and Merhof, Dorit}
}
