@article {Siju809277, author = {K.P. Siju and Vilim Stih and Sophie Aimon and Julijana Gjorgjieva and Ruben Portugues and Ilona C. Grunwald Kadow}, title = {Valence and state-dependent population coding in dopaminergic neurons in the fly mushroom body}, elocation-id = {809277}, year = {2019}, doi = {10.1101/809277}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Neuromodulation permits flexibility of synapses, neural circuits and ultimately behavior. One neuromodulator, dopamine, has been studied extensively in its role as reward signal during learning and memory across animal species. Newer evidence suggests that dopaminergic neurons (DANs) can modulate sensory perception acutely, thereby allowing an animal to adapt its behavior and decision-making to its internal and behavioral state. In addition, some data indicate that DANs are heterogeneous and convey different types of information as a population. We have investigated DAN population activity and how it could encode relevant information about sensory stimuli and state by taking advantage of the confined anatomy of DANs innervating the mushroom body (MB) of the fly Drosophila melanogaster. Using in vivo calcium imaging and a custom 3D image registration method, we find that the activity of the population of MB DANs is predictive of the innate valence of an odor as well as the metabolic and mating state of the animal. Furthermore, DAN population activity is strongly correlated with walking or running, consistent with a role of dopamine in conveying behavioral state to the MB. Together our data and analysis suggest that distinct DAN population activities encode innate odor valence, movement and physiological state in a MB-compartment specific manner. We propose that dopamine shapes innate odor perception through combinatorial population coding of sensory valence, physiological and behavioral context.}, URL = {https://www.biorxiv.org/content/early/2019/10/17/809277}, eprint = {https://www.biorxiv.org/content/early/2019/10/17/809277.full.pdf}, journal = {bioRxiv} }