Linking neural circuits to the mechanics of animal behavior in Drosophila larval locomotion

Frontiers in Neural Circuits, Год журнала: 2023, Номер 17

Опубликована: Авг. 17, 2023

The motions that make up animal behavior arise from the interplay between neural circuits and mechanical parts of body. Therefore, in order to comprehend operational mechanisms governing behavior, it is essential examine not only underlying network but also characteristics animal’s locomotor system fly larvae serves as an ideal model for pursuing this integrative approach. By virtue diverse investigation methods encompassing connectomics analysis quantification locomotion kinematics, research on larval has shed light behavior. These studies have elucidated roles interneurons coordinating muscle activities within segments, well responsible exploration. This review aims provide overview recent neuromechanics larvae. We briefly interspecific diversity explore latest advancements soft robots inspired by locomotion. using could establish a practical framework scrutinizing other species.

Язык: Английский

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Serotonergic modulation of swallowing in a complete fly vagus nerve connectome

Current Biology, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

Язык: Английский

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Evolutionarily conserved roles of cholecystokinin signaling

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 21 - 70

Опубликована: Янв. 1, 2025

Язык: Английский

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A behavioral architecture for realistic simulations of Drosophila larva locomotion and foraging

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

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A behavioral architecture for realistic simulations of Drosophila larva locomotion and foraging

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

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