A behavioral architecture for realistic simulations of Drosophila larva locomotion and foraging DOI Open Access
Panagiotis Sakagiannis, Anna-Maria Jürgensen, Martin Paul Nawrot

и другие.

Опубликована: Апрель 10, 2025

The Drosophila larva is extensively used as model organism in neuroethological studies where precise behavioral tracking enables the statistical analysis of individual and population-level metrics that can inform mathematical models larval behavior. Here, we propose a hierarchical architecture comprising three layers to facilitate modular construction, closed-loop simulations, direct comparisons between empirical simulated data. At basic layer, autonomous locomotory capable performing exploration. Based on novel kinematic analyses our features intermittent forward crawling phasically coupled lateral bending. second navigation achieved via active sensing environment top-down modulation locomotion. top adaptation entails associative learning. We evaluate virtual behavior across agent-based simulations free exploration, chemotaxis, odor preference testing. Our ideally suited for combination neuromechanical, neural or mere components, facilitating their evaluation, comparison, extension integration into multifunctional control architectures.

Язык: Английский

A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection DOI Creative Commons
Brad K. Hulse, Hannah Haberkern, Romain Franconville

и другие.

eLife, Год журнала: 2021, Номер 10

Опубликована: Окт. 26, 2021

Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which experimentally challenging study. In insects, circuit dynamics a region called the central complex (CX) enable directed locomotion, sleep, and context- experience-dependent spatial navigation. We describe first complete electron microscopy-based connectome of

Язык: Английский

Процитировано

308

The connectome of an insect brain DOI
Michael Winding, Benjamin D. Pedigo, Christopher L. Barnes

и другие.

Science, Год журнала: 2023, Номер 379(6636)

Опубликована: Март 10, 2023

Brains contain networks of interconnected neurons and so knowing the network architecture is essential for understanding brain function. We therefore mapped synaptic-resolution connectome an entire insect ( Drosophila larva) with rich behavior, including learning, value computation, action selection, comprising 3016 548,000 synapses. characterized neuron types, hubs, feedforward feedback pathways, as well cross-hemisphere brain-nerve cord interactions. found pervasive multisensory interhemispheric integration, highly recurrent architecture, abundant from descending neurons, multiple novel circuit motifs. The brain’s most circuits comprised input output learning center. Some structural features, multilayer shortcuts nested loops, resembled state-of-the-art deep architectures. identified provides a basis future experimental theoretical studies neural circuits.

Язык: Английский

Процитировано

274

Walking Drosophila navigate complex plumes using stochastic decisions biased by the timing of odor encounters DOI Creative Commons
Mahmut Demir, Nirag Kadakia, Hope D. Anderson

и другие.

eLife, Год журнала: 2020, Номер 9

Опубликована: Ноя. 3, 2020

How insects navigate complex odor plumes, where the location and timing of packets are uncertain, remains unclear. Here we imaged plumes simultaneously with freely-walking flies, quantifying how behavior is shaped by encounters individual packets. We found that navigation was stochastic did not rely on continuous modulation speed or orientation. Instead, flies turned stochastically stereotyped saccades, whose direction biased upwind prior encounters, while magnitude rate saccades remained constant. Further, used to modulate transition rates between walks stops. In more regular environments, continuously orientation, even though can still occur randomly due animal motion. find in less predictable random both space time, walking encounter timing.

Язык: Английский

Процитировано

89

Internal state configures olfactory behavior and early sensory processing in Drosophila larvae DOI Creative Commons
Katrin Vogt, David Zimmerman, Matthias Schlichting

и другие.

Science Advances, Год журнала: 2021, Номер 7(1)

Опубликована: Янв. 1, 2021

The first olfactory processing center in the larval Drosophila brain uses information about feeding state to shape behavior.

Язык: Английский

Процитировано

77

Olfactory navigation in arthropods DOI Creative Commons

Theresa J. Steele,

Aaron J. Lanz, Katherine I. Nagel

и другие.

Journal of Comparative Physiology A, Год журнала: 2023, Номер 209(4), С. 467 - 488

Опубликована: Янв. 20, 2023

Abstract Using odors to find food and mates is one of the most ancient highly conserved behaviors. Arthropods from flies moths crabs use broadly similar strategies navigate toward odor sources—such as integrating flow information with information, comparing concentration across sensors, over time. Because arthropods share many homologous brain structures—antennal lobes for processing olfactory mechanosensors flow, mushroom bodies (or hemi-ellipsoid bodies) associative learning, central complexes navigation, it likely that these closely related behaviors are mediated by neural circuits. However, differences in types they seek, physics dispersal, locomotion water, air, on substrates mean circuits must have adapted generate a wide diversity odor-seeking In this review, we discuss common specializations observed navigation behavior arthropods, review our current knowledge about subserving behavior. We propose comparative study arthropod nervous systems may provide insight into how set basic circuit structures has diversified different environments.

Язык: Английский

Процитировано

25

Neural circuit mechanisms underlying context-specific halting in Drosophila DOI Creative Commons

Neha Sapkal,

Nino Mancini,

Divya Sthanu Kumar

и другие.

Nature, Год журнала: 2024, Номер 634(8032), С. 191 - 200

Опубликована: Окт. 2, 2024

Язык: Английский

Процитировано

18

Neural circuits underlying context-dependent competition between defensive actions in Drosophila larvae DOI Creative Commons

Maxime Lehman,

Chloé Barré,

Md Amit Hasan

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Янв. 28, 2025

To ensure their survival, animals must be able to respond adaptively threats within environment. However, the precise neural circuit mechanisms that underlie flexible defensive behaviors remain poorly understood. Using neuronal manipulations, machine learning-based behavioral detection, electron microscopy (EM) connectomics and calcium imaging in Drosophila larvae, we map second-order interneurons are differentially involved competition between actions response competing aversive cues. We find mechanosensory stimulation inhibits escape favor of startle by influencing activity escape-promoting interneurons. Stronger activation those neurons startle-like behaviors. This suggests occurs at level Finally, identify a pair descending promote could modulate sequence. Taken together, these results characterize pathways competition, which is modulated sensory context.

Язык: Английский

Процитировано

2

The Drosophila Split Gal4 System for Neural Circuit Mapping DOI Creative Commons

Haojiang Luan,

Fengqiu Diao,

Robert L. Scott

и другие.

Frontiers in Neural Circuits, Год журнала: 2020, Номер 14

Опубликована: Ноя. 9, 2020

The diversity and dense interconnectivity of cells in the nervous system present a huge challenge to understanding how brains work. Recent progress toward such understanding, however, has been fueled by development techniques for selectively monitoring manipulating function distinct cell types—and even individual neurons—in living animals. These sophisticated are fundamentally genetic have found their greatest application model organisms, as fruit fly Drosophila melanogaster. combines tractability with compact, but cell-type rich, incubator variety methods neuronal targeting. One method, called Split Gal4, is playing an increasingly important role mapping neural circuits fly. In conjunction functional perturbations behavioral screens, Gal4 used characterize governing activities grooming, aggression, mating. It also leveraged comprehensively map functionally composing brain regions, central complex, lateral horn, mushroom body—the latter being insect seat learning memory. With connectomics data emerging both larval adult Drosophila, poised play characterizing neurons interest based on connectivity. We summarize history current state method indicate promising areas further or future application.

Язык: Английский

Процитировано

66

Neural Substrates of Drosophila Larval Anemotaxis DOI Creative Commons
Tihana Jovanic, Michael Winding, Albert Cardona

и другие.

Current Biology, Год журнала: 2019, Номер 29(4), С. 554 - 566.e4

Опубликована: Фев. 1, 2019

Язык: Английский

Процитировано

57

Useful road maps: studying Drosophila larva’s central nervous system with the help of connectomics DOI Creative Commons
Claire Eschbach, Marta Zlatic

Current Opinion in Neurobiology, Год журнала: 2020, Номер 65, С. 129 - 137

Опубликована: Ноя. 23, 2020

The larva of Drosophila melanogaster is emerging as a powerful model system for comprehensive brain-wide understanding the circuit implementation neural computations. With an unprecedented amount tools in hand, including synaptic-resolution connectomics, whole-brain imaging, and genetic selective targeting single neuron types, it possible to dissect which circuits computations are at work behind behaviors that have interesting level complexity. Here we present some recent advances regarding multisensory integration, learning, action selection larva.

Язык: Английский

Процитировано

54