Neuronal wiring diagram of an adult brain

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: June 30, 2023

Abstract Connections between neurons can be mapped by acquiring and analyzing electron microscopic (EM) brain images. In recent years, this approach has been applied to chunks of brains reconstruct local connectivity maps that are highly informative, yet inadequate for understanding function more globally. Here, we present the first neuronal wiring diagram a whole adult brain, containing 5×10 7 chemical synapses ∼130,000 reconstructed from female Drosophila melanogaster . The resource also incorporates annotations cell classes types, nerves, hemilineages, predictions neurotransmitter identities. Data products available download, programmatic access, interactive browsing made interoperable with other fly data resources. We show how derive projectome, map projections regions, connectome. demonstrate tracing synaptic pathways analysis information flow inputs (sensory ascending neurons) outputs (motor, endocrine, descending neurons), across both hemispheres, central optic lobes. Tracing subset photoreceptors all way motor illustrates structure uncover putative circuit mechanisms underlying sensorimotor behaviors. technologies open ecosystem FlyWire Consortium set stage future large-scale connectome projects in species.

Language: Английский

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A split-GAL4 driver line resource for Drosophila neuron types

eLife, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 24, 2025

Techniques that enable precise manipulations of subsets neurons in the fly central nervous system (CNS) have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult CNS 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. Previously published new included, all validated for expression curated optimal cell-type specificity across diverse types. In addition stocks well-characterized lines, we make available 300,000 3D lines.

Language: Английский

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Connectome-driven neural inventory of a complete visual system

Nature, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Abstract Vision provides animals with detailed information about their surroundings and conveys diverse features such as colour, form movement across the visual scene. Computing these parallel spatial requires a large network of neurons. Consequently, from flies to humans, regions in brain constitute half its volume. These often have marked structure–function relationships, neurons organized along maps shapes that directly relate roles processing. More than century anatomical studies catalogued detail cell types fly systems 1–3 , behavioural physiological experiments examined capabilities flies. To unravel diversity complex system, careful mapping neural architecture matched tools for targeted exploration this circuitry is essential. Here we present connectome right optic lobe male Drosophila melanogaster acquired using focused ion beam milling scanning electron microscopy. We established comprehensive inventory developed computational framework quantify anatomy. Together, data establish basis interpreting how vision. By integrating analysis connectivity information, neurotransmitter identity expert curation, classified approximately 53,000 into 732 types. are systematically described newly named. Finally, share an extensive collection split-GAL4 lines our neuron-type catalogue. Overall, set unlocks new possibilities systematic investigations vision foundation deeper understanding sensory

Language: Английский

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Visual processing in the fly, from photoreceptors to behavior

Genetics, Journal Year: 2023, Volume and Issue: 224(2)

Published: May 2, 2023

Abstract Originally a genetic model organism, the experimental use of Drosophila melanogaster has grown to include quantitative behavioral analyses, sophisticated perturbations neuronal function, and detailed sensory physiology. A highlight these developments can be seen in context vision, where pioneering studies have uncovered fundamental generalizable principles processing. Here we begin with an overview vision-guided behaviors common methods for probing visual circuits. We then outline anatomy physiology brain regions involved processing, beginning at periphery ending descending motor control. Areas focus contrast motion detection optic lobe, circuits feature selectivity, computations support spatial navigation, contextual associative learning. Finally, look future fly neuroscience discuss promising topics further study.

Language: Английский

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Small-field visual projection neurons detect translational optic flow and support walking control

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: June 22, 2023

SUMMARY Animals rely on visual motion for navigating the world, and research in flies has clarified how neural circuits extract information from moving scenes. However, major pathways connecting these patterns of optic flow to behavior remain poorly understood. Using a high-throughput quantitative assay visually guided behaviors genetic neuronal silencing, we discovered region Drosophila ’s protocerebrum critical following. We used calcium imaging, optogenetics identify single cell type, LPC1, that innervates this region, detects translational flow, plays key role regulating forward walking. Moreover, population LPC1s can estimate travelling direction, such as when gaze direction diverges body heading. By linking specific types their computations behaviors, our findings establish foundation understanding nervous system uses vision guide navigation.

Language: Английский

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Whole-body simulation of realistic fruit fly locomotion with deep reinforcement learning

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 14, 2024

Abstract The body of an animal influences how the nervous system produces behavior. Therefore, detailed modeling neural control sensorimotor behavior requires a model body. Here we contribute anatomically-detailed biomechanical whole-body fruit fly Drosophila melanogaster in MuJoCo physics engine. Our is general-purpose, enabling simulation diverse behaviors, both on land and air. We demonstrate generality our by simulating realistic locomotion, flight walking. To support these have extended with phenomenological models fluid forces adhesion forces. Through data-driven end-to-end reinforcement learning, that advances enable training network controllers capable locomotion along complex trajectories based high-level steering signals. use visual sensors re-use pre-trained general-purpose controller to perform visually guided tasks. project open-source platform for embodied context.

Language: Английский

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A split-GAL4 driver line resource forDrosophilaneuron types

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 10, 2024

Abstract Techniques that enable precise manipulations of subsets neurons in the fly central nervous system have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. Previously published new included, all validated for expression curated optimal type specificity across diverse types. In addition stocks well-characterized lines, we make available 300,000 3D lines.

Language: Английский

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Predicting visual function by interpreting a neuronal wiring diagram

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 113 - 123

Published: Oct. 2, 2024

Language: Английский

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Connectomic reconstruction predicts visual features used for navigation

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 181 - 190

Published: Oct. 2, 2024

Language: Английский

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A comprehensive neuroanatomical survey of the Drosophila Lobula Plate Tangential Neurons with predictions for their optic flow sensitivity

Published: Jan. 9, 2024

Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential cells dipteran lobula plate, whose visual-motion responses, lesser extent, morphology, explored using single-neuron neurophysiology. Most these studies focused on large, Horizontal Vertical System neurons, yet plate houses much larger set ‘optic-flow’ many which challenging unambiguously identify or reliably target functional studies. Here we report comprehensive reconstruction identification Lobula Plate Tangential an Electron Microscopy (EM) volume whole Drosophila brain. This catalog 58 LPT (per brain hemisphere) contains described here first time provides basis systematic investigation circuitry linking locomotion control. Leveraging computational anatomy methods, estimated motion receptive fields compared tuning consequence body rotations translational movements. We also matched most cases one-for-one basis, stochastically labeled genetic driver lines, mirror-symmetric same EM volume, additional data set. Using cell matches across sets, analyzed integration downstream LPTs find central establish sharper selectivity global than input neurons. Furthermore, found information extracted from processed distinct regions brain, pointing diverse foci generation behaviors.

Language: Английский

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