Maximally efficient prediction in the early fly visual system may support evasive flight maneuvers DOI Creative Commons
Siwei Wang, Idan Segev, Alexander Borst

и другие.

PLoS Computational Biology, Год журнала: 2021, Номер 17(5), С. e1008965 - e1008965

Опубликована: Май 20, 2021

The visual system must make predictions to compensate for inherent delays in its processing. Yet little is known, mechanistically, about how prediction aids natural behaviors. Here, we show that despite a 20-30ms intrinsic processing delay, the vertical motion sensitive (VS) network of blowfly achieves maximally efficient prediction. This enables fly fine-tune complex, yet brief, evasive flight maneuvers according initial ego-rotation at time detection threat. Combining rich database behavioral recordings with detailed compartmental modeling VS network, further has axonal gap junctions are critical optimal During maneuvers, subpopulation directly innervates neck motor center can convey predictive information fly’s future ego-rotation, potentially crucial ongoing control. These results suggest novel sensory-motor pathway links sensory behavior.

Язык: Английский

Social state gates vision using three circuit mechanisms inDrosophila DOI Creative Commons
Catherine E. Schretter, Tom Hindmarsh Sten, Nathan C Klapoetke

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Март 17, 2024

Abstract Animals are often bombarded with visual information and must prioritize specific features based on their current needs. The neuronal circuits that detect relay have been well-studied. Yet, much less is known about how an animal adjusts its attention as goals or environmental conditions change. During social behaviors, flies need to focus nearby flies. Here, we study the flow of altered when female Drosophila enter aggressive state. From connectome, identified three state-dependent circuit motifs poised selectively amplify response fly-sized objects: convergence excitatory inputs from neurons conveying select internal state; dendritic disinhibition feature detectors; a switch toggles between two detectors. Using cell-type-specific genetic tools, together behavioral neurophysiological analyses, show each these function during aggression. We reveal this same operate in males courtship pursuit, suggesting disparate behaviors may share mechanisms. Our work provides compelling example using connectome infer mechanisms underlie dynamic processing sensory signals.

Язык: Английский

Процитировано

14

Mapping model units to visual neurons reveals population code for social behaviour DOI Creative Commons
Benjamin R. Cowley, Adam J. Calhoun,

Nivedita Rangarajan

и другие.

Nature, Год журнала: 2024, Номер 629(8014), С. 1100 - 1108

Опубликована: Май 22, 2024

Abstract The rich variety of behaviours observed in animals arises through the interplay between sensory processing and motor control. To understand these sensorimotor transformations, it is useful to build models that predict not only neural responses input 1–5 but also how each neuron causally contributes behaviour 6,7 . Here we demonstrate a novel modelling approach identify one-to-one mapping internal units deep network real neurons by predicting behavioural changes arise from systematic perturbations more than dozen neuronal cell types. A key ingredient introduce ‘knockout training’, which involves perturbing during training match experiments. We apply this model transformations Drosophila melanogaster males complex, visually guided social 8–11 visual projection at interface optic lobe central brain form set discrete channels 12 , prior work indicates channel encodes specific feature drive particular 13,14 Our reaches different conclusion: combinations neurons, including those involved non-social behaviours, male interactions with female, forming population code for behaviour. Overall, our framework consolidates effects elicited various into single, unified model, providing map stimulus type behaviour, enabling future incorporation wiring diagrams 15 model.

Язык: Английский

Процитировано

12

The role of the optic tectum for visually evoked orienting and evasive movements DOI Open Access
Daichi G. Suzuki, Juan Pérez‐Fernández, Tobias Wibble

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2019, Номер 116(30), С. 15272 - 15281

Опубликована: Июль 11, 2019

Significance The optic tectum (the superior colliculus in mammals) is central for visuomotor transformation all vertebrates. Here, we investigate the mechanisms underlying selection between approaching and evasive movements. We use an isolated eye–brain–spinal cord preparation from lamprey that allows us to display different types of visual stimuli (e.g., looming stimuli) and, at same time, record neural activity specific brain regions behavioral output monitored through ventral roots. show 2 classes brainstem-projecting neurons deep layer tectum, interaction with local inhibitory interneurons, are responsible selective switch visually triggered or suggest these decision-making circuits phylogenetically conserved throughout vertebrate evolution.

Язык: Английский

Процитировано

70

Spatial readout of visual looming in the central brain of Drosophila DOI Creative Commons
Mai M Morimoto, Aljoscha Nern, Arthur Zhao

и другие.

eLife, Год журнала: 2020, Номер 9

Опубликована: Ноя. 18, 2020

Visual systems can exploit spatial correlations in the visual scene by using retinotopy, organizing principle which neighboring cells encode locations. However, retinotopy is often lost, such as when pathways are integrated with other sensory modalities. How information processed outside of strictly brain areas? Here, we focused on looming responsive LC6 Drosophila, a population whose dendrites collectively cover field, but axons form single glomerulus-a structure without obvious retinotopic organization-in central brain. We identified multiple cell types downstream glomerulus and found that they more strongly respond to different portions unexpectedly preserving information. Through EM reconstruction all synaptic inputs glomerulus, circuits within enable readout features contralateral suppression-mechanisms transform for behavioral control.

Язык: Английский

Процитировано

56

Inhibitory Interactions and Columnar Inputs to an Object Motion Detector in Drosophila DOI Creative Commons
Mehmet F. Keleş, Ben J. Hardcastle, Carola Städele

и другие.

Cell Reports, Год журнала: 2020, Номер 30(7), С. 2115 - 2124.e5

Опубликована: Фев. 1, 2020

The direction-selective T4/T5 cells innervate optic-flow processing projection neurons in the lobula plate of fly that mediate visual control locomotion. In lobula, coordinate complex behavioral responses to features, however, input circuitry and computations bestow their feature-detecting properties are less clear. Here, we study a highly specialized small object motion detector, LC11, demonstrate its suppressed by local background motion. We show LC11 expresses GABA-A receptors serve sculpt objects but not responsible for rejection Instead, is innervated columnar T2 T3 themselves sensitive static or moving objects, insensitive wide-field and, unlike T4/T5, respond both ON OFF luminance steps.

Язык: Английский

Процитировано

52

Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors DOI Creative Commons
Florian Aymanns, Chin‐Lin Chen, Pavan P Ramdya

и другие.

eLife, Год журнала: 2022, Номер 11

Опубликована: Окт. 25, 2022

Deciphering how the brain regulates motor circuits to control complex behaviors is an important, long-standing challenge in neuroscience. In fly, Drosophila melanogaster , this coordinated by a population of ~ 1100 descending neurons (DNs). Activating only few DNs known be sufficient drive like walking and grooming. However, what additional role larger plays during natural remains largely unknown. For example, they may modulate core behavioral commands or comprise parallel pathways that are engaged depending on sensory context. We evaluated these possibilities recording populations nearly 100 individual tethered flies while generated limb-dependent behaviors, including found largest fraction recorded encode fewer active head grooming resting. A large walk-encoding turning far weakly speed. Although odor context does not determine which behavior-encoding recruited, odors rather than behaviors. Lastly, we illustrate one can identify from DN recordings using their spatial, functional, morphological properties. These results set stage for comprehensive, population-level understanding brain’s signals regulate actions.

Язык: Английский

Процитировано

31

Neural mechanisms to exploit positional geometry for collision avoidance DOI Creative Commons
Ryosuke Tanaka, Damon A. Clark

Current Biology, Год журнала: 2022, Номер 32(11), С. 2357 - 2374.e6

Опубликована: Май 3, 2022

Язык: Английский

Процитировано

30

How Flies See Motion DOI Creative Commons
Alexander Borst, Lukas N. Groschner

Annual Review of Neuroscience, Год журнала: 2023, Номер 46(1), С. 17 - 37

Опубликована: Июль 10, 2023

How neurons detect the direction of motion is a prime example neural computation: Motion vision found in visual systems virtually all sighted animals, it important for survival, and requires interesting computations with well-defined linear nonlinear processing steps—yet whole process moderate complexity. The genetic methods available fruit fly Drosophila charting connectome its system have led to rapid progress unprecedented detail our understanding how compute this organism. picture that emerged incorporates not only identity, morphology, synaptic connectivity each neuron involved but also neurotransmitters, receptors, their subcellular localization. Together neurons’ membrane potential responses stimulation, information provides basis biophysically realistic model circuit computes motion.

Язык: Английский

Процитировано

21

retro-Tango enables versatile retrograde circuit tracing in Drosophila DOI Creative Commons
Altar Sorkaç,

Rareș A Moșneanu,

Anthony M. Crown

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Май 11, 2023

Transsynaptic tracing methods are crucial tools in studying neural circuits. Although a couple of anterograde and targeted retrograde tool have been developed Drosophila melanogaster , there is still need for an unbiased, user-friendly, flexible system. Here, we describe retro -Tango, method transsynaptic, circuit manipulation . In this genetically encoded system, ligand-receptor interaction at the synapse triggers intracellular signaling cascade that results reporter gene expression presynaptic neurons. Importantly, panneuronal elements renders versatile, enabling its use not only to test hypotheses but also generate them. We validate -Tango various circuits benchmark it by comparing our findings with electron microscopy reconstruction hemibrain. Our experiments establish as key neuroscience research.

Язык: Английский

Процитировано

20

Optic flow based spatial vision in insects DOI Creative Commons
Martin Egelhaaf

Journal of Comparative Physiology A, Год журнала: 2023, Номер 209(4), С. 541 - 561

Опубликована: Янв. 7, 2023

The optic flow, i.e., the displacement of retinal images objects in environment induced by self-motion, is an important source spatial information, especially for fast-flying insects. Spatial information over a wide range distances, from animal's immediate surroundings several hundred metres to kilometres, necessary mediating behaviours, such as landing manoeuvres, collision avoidance spatially complex environments, learning environmental object constellations and path integration navigation. To facilitate processing complexity flow often reduced active vision strategies. These result translations rotations being largely separated saccadic flight gaze mode. Only translational components contain information. In first step processing, array local motion detectors provides retinotopic proximity map environment. This then processed parallel neural pathways task-specific manner used control different behaviour. A particular challenge here that distance extracted does not represent distances unambiguously, but these are scaled speed locomotion. Possible ways coping with this ambiguity discussed.

Язык: Английский

Процитировано

19