@article {68774, title = {A leaky integrate-and-fire computational model based on the connectome of the entire adult Drosophila brain reveals insights into sensorimotor processing}, journal = {bioRxiv}, year = {2023}, month = {2023 May 02}, abstract = {

The forthcoming assembly of the adult\ Drosophila melanogaster\ central brain connectome, containing over 125,000 neurons and 50 million synaptic connections, provides a template for examining sensory processing throughout the brain. Here, we create a leaky integrate-and-fire computational model of the entire\ Drosophila\ brain, based on neural connectivity and neurotransmitter identity, to study circuit properties of feeding and grooming behaviors. We show that activation of sugar-sensing or water-sensing gustatory neurons in the computational model accurately predicts neurons that respond to tastes and are required for feeding initiation. Computational activation of neurons in the feeding region of the\ Drosophila\ brain predicts those that elicit motor neuron firing, a testable hypothesis that we validate by optogenetic activation and behavioral studies. Moreover, computational activation of different classes of gustatory neurons makes accurate predictions of how multiple taste modalities interact, providing circuit-level insight into aversive and appetitive taste processing. Our computational model predicts that the sugar and water pathways form a partially shared appetitive feeding initiation pathway, which our calcium imaging and behavioral experiments confirm. Additionally, we applied this model to mechanosensory circuits and found that computational activation of mechanosensory neurons predicts activation of a small set of neurons comprising the antennal grooming circuit that do not overlap with gustatory circuits, and accurately describes the circuit response upon activation of different mechanosensory subtypes. Our results demonstrate that modeling brain circuits purely from connectivity and predicted neurotransmitter identity generates experimentally testable hypotheses and can accurately describe complete sensorimotor transformations.

}, doi = {10.1101/2023.05.02.539144}, url = {https://doi.org/10.1101/2023.05.02.539144}, author = {Philip K. Shiu and Gabriella R. Sterne and Nico Spiller and Romain Franconville and Andrea Sandoval and Joie Zhou and Neha Simha and Chan Hyuk Kang and Seongbong Yu and Jinseop S. Kim and Sven Dorkenwald and Arie Matsliah and Philipp Schlegel and Szi-chieh Yu and Claire E. McKellar and Amy Sterling and Marta Costa and Katharina Eichler and Gregory S.X.E. Jefferis and Mala Murthy and Alexander Shakeel Bates and Nils Eckstein and Jan Funke and Salil S. Bidaye and Stefanie Hampel and Andrew M. Seeds and Kristin Scott} } @article {67948, title = {Taste quality interactions and transformations in a sensorimotor circuit}, journal = {eLife}, year = {2022}, month = {2022 Jul 06}, abstract = {

Taste detection and hunger state dynamically regulate the decision to initiate feeding. To study how context-appropriate feeding decisions are generated, we combined synaptic resolution circuit reconstruction with targeted genetic access to specific neurons to elucidate a gustatory sensorimotor circuit for feeding initiation in\ Drosophila melanogaster. This circuit connects gustatory sensory neurons to proboscis motor neurons through three intermediate layers. Most of the neurons in this pathway are necessary and sufficient for proboscis extension, a feeding initiation behavior, and respond selectively to sugar taste detection. Hunger signals act at select second-order neurons to increase feeding initiation in food-deprived animals. In contrast, a bitter taste pathway inhibits premotor neurons, illuminating a central mechanism that weighs sugar and bitter tastes to promote or inhibit feeding. Together, these studies reveal the neural circuit basis for the integration of external taste detection and internal nutritive state to flexibly execute a critical feeding decision.

}, doi = {10.1101/2022.03.06.483180}, url = {https://doi.org/10.1101/2022.03.06.483180}, author = {Philip K. Shiu and Gabriella R. Sterne and Stefanie Engert and Barry J. Dickson and Kristin Scott} }