@article {69997, title = {A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain}, journal = {bioRxiv}, year = {2025}, month = {2025 Jun 16}, abstract = {

We present a correlated light and electron microscopy (CLEM) dataset from a 7-day-old larval zebrafish, integrating confocal imaging of genetically labeled excitatory (vglut2a) and inhibitory (gad1b) neurons with nanometer-resolution serial section EM. The dataset spans the brain and anterior spinal cord, capturing \>180,000 segmented soma, \>40,000 molecularly annotated neurons, and 30 million synapses, most of which were classified as excitatory, inhibitory, or modulatory. To characterize the directional flow of activity across the brain, we leverage the synaptic and cell body annotations to compute region-wise input and output drive indices at single cell resolution. We illustrate the dataset{\textquoteright}s utility by dissecting and validating circuits in three distinct systems: water flow direction encoding in the lateral line, recurrent excitation and contralateral inhibition in a hindbrain motion integrator, and functionally relevant targeted long-range projections from a tegmental excitatory nucleus, demonstrating that this resource enables rigorous hypothesis testing as well as exploratory-driven circuit analysis. The dataset is integrated into an open-access platform optimized to facilitate community reconstruction and discovery efforts throughout the larval zebrafish brain.

Preprint: https://www.biorxiv.org/content/early/2025/06/15/2025.06.10.658982

}, doi = {10.1101/2025.06.10.658982}, url = {https://www.biorxiv.org/content/early/2025/06/15/2025.06.10.658982}, author = {Petkova, Mariela D. and Januszewski, Micha{\l} and Blakely, Tim and Herrera, Kristian J. and Schuhknecht, Gregor F.P. and Tiller, Robert and Choi, Jinhan and Schalek, Richard L. and Boulanger-Weill, Jonathan and Peleg, Adi and Wu, Yuelong and Wang, Shuohong and Troidl, Jakob and Kumar Vohra, Sumit and Wei, Donglai and Lin, Zudi and Bahl, Armin and Tapia, Juan Carlos and Iyer, Nirmala and Miller, Zachary T. and Hebert, Kathryn B. and Pavarino, Elisa C. and Taylor, Milo and Deng, Zixuan and Stingl, Moritz and Hockling, Dana and Hebling, Alina and Wang, Ruohong C. and Zhang, Lauren L. and Dvorak, Sam and Faik, Zainab and King, Kareem I. and Goel, Pallavi and Wagner-Carena, Julian and Aley, David and Chalyshkan, Selimzhan and Contreas, Dominick and Li, Xiong and Muthukumar, Akila V. and Vernaglia, Marina S. and Carrasco, Teodoro Tapia and Melnychuck, Sofia and Yan, TingTing and Dalal, Ananya and DiMartino, James M. and Brown, Sam and Safo-Mensa, Nana and Greenberg, Ethan and Cook, Michael and Finley-May, Samantha and Flynn, Miriam A. and Hopkins, Gary Patrick and Kovalyak, Julie and Leonard, Meghan and Lohff, Alanna and Ordish, Christopher and Scott, Ashley L. and Takemura, Satoko and Walsh, Claire and Walsh, John J. and Berger, Daniel R. and Pfister, Hanspeter and Berg, Stuart and Knecht, Christopher and Meissner, Geoffrey W. and Korff, Wyatt and Ahrens, Misha B. and Jain, Viren and Lichtman, Jeff W. and Engert, Florian} } @article {70031, title = {Fishexplorer: A multimodal cellular atlas platform for neuronal circuit dissection in larval zebrafish}, journal = {bioRxiv}, year = {2025}, month = {2025 Jul 14}, abstract = {

Understanding how neural circuits give rise to behavior requires comprehensive knowledge of neuronal morphology, connectivity, and function. Atlas platforms play a critical role in enabling the visualization, exploration, and dissemination of such information. Here, we present FishExplorer, an interactive and expandable community platform designed to integrate and analyze multimodal brain data from larval zebrafish. FishExplorer supports datasets acquired through light microscopy (LM), electron microscopy (EM), and X-ray imaging, all co-registered within a unified spatial coordinate system which enables seamless comparison of neuronal morphologies and synaptic connections. To further assist circuit analysis, FishExplorer includes a suite of tools for querying and visualizing connectivity at the whole-brain scale. By integrating data from recent large-scale EM reconstructions (presented in companion studies), FishExplorer enables researchers to validate circuit models, explore wiring principles, and generate new hypotheses. As a continuously evolving resource, FishExplorer is designed to facilitate collaborative discovery and serve the growing needs of the teleost neuroscience community.

}, doi = {10.1101/2025.07.14.664689}, url = {https://www.biorxiv.org/content/early/2025/07/15/2025.07.14.664689}, author = {Vohra, Sumit K. and Eberle, Maren and Boulanger-Weill, Jonathan and Petkova, Mariela D. and Schuhknecht, Gregor F. P. and Herrera, Kristian J. and K{\"a}mpf, Florian and Ruetten, Virginia M. S. and Lichtman, Jeff W. and Engert, Florian and Randlett, Owen and Bahl, Armin and Isoe, Yasuko and Hege, Hans-Christian and Baum, Daniel} } @article {67299, title = {Algorithms underlying flexible phototaxis in larval zebrafish.}, journal = {Journal of Experimental Biology}, volume = {224}, year = {2021}, month = {2021 May 15}, abstract = {

To thrive, organisms must maintain physiological and environmental variables in suitable ranges. Given that these variables undergo constant fluctuations over varying time scales, how do biological control systems maintain control over these values? We explored this question in the context of phototactic behavior in larval zebrafish. We demonstrate that larval zebrafish use phototaxis to maintain environmental luminance at a set point, that the value of this set point fluctuates on a time scale of seconds when environmental luminance changes, and that it is determined by calculating the mean input across both sides of the visual field. These results expand on previous studies of flexible phototaxis in larval zebrafish; they suggest that larval zebrafish exert homeostatic control over the luminance of their surroundings, and that feedback from the surroundings drives allostatic changes to the luminance set point. As such, we describe a novel behavioral algorithm with which larval zebrafish exert control over a sensory variable.

}, issn = {1477-9145}, doi = {10.1242/jeb.238386}, author = {Chen, Alex B and Deb, Diptodip and Bahl, Armin and Engert, Florian} } @article {65198, title = {A bidirectional network for appetite control in larval zebrafish.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Oct 18}, abstract = {

Medial and lateral hypothalamic loci are known to suppress and enhance appetite, respectively, but the dynamics and functional significance of their interaction have yet to be explored. Here we report that, in larval zebrafish, primarily serotonergic neurons of the ventromedial caudal hypothalamus (cH) become increasingly active during food deprivation, whereas activity in the lateral hypothalamus (LH) is reduced. Exposure to food sensory and consummatory cues reverses the activity patterns of these two nuclei, consistent with their representation of opposing internal hunger states. Baseline activity is restored as food-deprived animals return to satiety via voracious feeding. The antagonistic relationship and functional importance of cH and LH activity patterns were confirmed by targeted stimulation and ablation of cH neurons. Collectively, the data allow us to propose a model in which these hypothalamic nuclei regulate different phases of hunger and satiety and coordinate energy balance via antagonistic control of distinct behavioral outputs.

}, issn = {2050-084X}, doi = {10.7554/eLife.43775}, author = {Wee, Caroline Lei and Song, Erin Yue and Johnson, Robert Evan and Ailani, Deepak and Randlett, Owen and Kim, Ji-Yoon and Nikitchenko, Maxim and Bahl, Armin and Yang, Chao-Tsung and Ahrens, Misha B and Kawakami, Koichi and Engert, Florian and Kunes, Sam} } @article {49331, title = {Visual projection neurons mediating directed courtship in Drosophila.}, journal = {Cell}, volume = {174}, year = {2018}, month = {2018 Jul 04}, pages = {607-21}, abstract = {

Many animals rely on vision to detect, locate, and track moving objects. In Drosophila courtship, males primarily use visual cues to orient toward and follow females and to select the ipsilateral wing for courtship song. Here, we show that the LC10 visual projection neurons convey essential visual information during courtship. Males with LC10 neurons silenced are unable to orient toward or maintain proximity to the female and do not predominantly use the ipsilateral wing when singing. LC10 neurons preferentially respond to small moving objects using an antagonistic motion-based center-surround mechanism. Unilateral activation of LC10 neurons recapitulates the orienting and ipsilateral wing extension normally elicited by females, and the potency with which LC10 induces wing extension is enhanced in a state of courtship arousal controlled by male-specific P1 neurons. These data suggest that LC10 is a major pathway relaying visual input to the courtship circuits in the male brain.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2018.06.020}, author = {Ribeiro, In{\^e}s M A and Drews, Michael and Bahl, Armin and Machacek, Christian and Borst, Alexander and Dickson, Barry J} } @article {6275, title = {A directional tuning map of Drosophila elementary motion detectors.}, journal = {Nature}, volume = {500}, year = {2013}, month = {2013 Aug 8}, pages = {212-6}, abstract = {

The extraction of directional motion information from changing retinal images is one of the earliest and most important processing steps in any visual system. In the fly optic lobe, two parallel processing streams have been anatomically described, leading from two first-order interneurons, L1 and L2, via T4 and T5 cells onto large, wide-field motion-sensitive interneurons of the lobula plate. Therefore, T4 and T5 cells are thought to have a pivotal role in motion processing; however, owing to their small size, it is difficult to obtain electrical recordings of T4 and T5 cells, leaving their visual response properties largely unknown. We circumvent this problem by means of optical recording from these cells in Drosophila, using the genetically encoded calcium indicator GCaMP5 (ref. 2). Here we find that specific subpopulations of T4 and T5 cells are directionally tuned to one of the four cardinal directions; that is, front-to-back, back-to-front, upwards and downwards. Depending on their preferred direction, T4 and T5 cells terminate in specific sublayers of the lobula plate. T4 and T5 functionally segregate with respect to contrast polarity: whereas T4 cells selectively respond to moving brightness increments (ON edges), T5 cells only respond to moving brightness decrements (OFF edges). When the output from T4 or T5 cells is blocked, the responses of postsynaptic lobula plate neurons to moving ON (T4 block) or OFF edges (T5 block) are selectively compromised. The same effects are seen in turning responses of tethered walking flies. Thus, starting with L1 and L2, the visual input is split into separate ON and OFF pathways, and motion along all four cardinal directions is computed separately within each pathway. The output of these eight different motion detectors is then sorted such that ON (T4) and OFF (T5) motion detectors with the same directional tuning converge in the same layer of the lobula plate, jointly providing the input to downstream circuits and motion-driven behaviours.

}, keywords = {Animal, Animals, Behavior, Drosophila, Interneurons, Locomotion, Motion Perception, Neurons, Signal Transduction, Visual Pathways}, issn = {1476-4687}, doi = {10.1038/nature12320}, author = {Maisak, Matthew S and Haag, Juergen and Ammer, Georg and Serbe, Etienne and Meier, Matthias and Leonhardt, Aljoscha and Schilling, Tabea and Bahl, Armin and Rubin, Gerald M and Nern, Aljoscha and Dickson, Barry J and Reiff, Dierk F and Hopp, Elisabeth and Borst, Alexander} }