Neural circuit mechanisms for steering control in walking Drosophila DOI Open Access

Aleksandr Rayshubskiy,

Stephen L. Holtz,

Alexander Shakeel Bates

et al.

Published: Nov. 27, 2024

Orienting behaviors provide a continuous stream of information about an organism’s sensory experiences and plans. Thus, to study the links between sensation action, it is useful identify neurons in brain that control orienting behaviors. Here we describe descending Drosophila predict influence orientation (heading) during walking. We show these cells have specialized functions: whereas one cell type predicts sustained low-gain steering, other transient high-gain steering. These latter integrate internally-directed steering signals from head direction system with stimulus-directed multimodal pathways. The inputs are organized produce “see-saw” commands, so increasing output hemisphere accompanied by decreasing hemisphere. Together, our results internal external drives integrated motor commands different timescales, for flexible precise space.

Language: Английский

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

Neha Sapkal,

Nino Mancini,

Divya Sthanu Kumar

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 191 - 200

Published: Oct. 2, 2024

Language: Английский

Citations

18
Subsets of extraocular motoneurons produce kinematically distinct saccades during hunting and exploration DOI Creative Commons
Charles K. Dowell, Thomas Hawkins, Isaac H. Bianco

et al.

Current Biology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2
Neural circuit mechanisms for steering control in walkingDrosophila DOI Creative Commons

Aleksandr Rayshubskiy,

Stephen L. Holtz,

Alexander Shakeel Bates

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: April 5, 2020

Abstract Orienting behaviors provide a continuous stream of information about an organism’s sensory experiences and plans. Thus, to study the links between sensation action, it is useful identify neurons in brain that control orienting behaviors. Here we describe descending Drosophila predict influence orientation (heading) during walking. We show these cells have specialized functions: whereas one cell type predicts sustained low-gain steering, other transient high-gain steering. These latter integrate internally-directed steering signals from head direction system with stimulus-directed multimodal pathways. The inputs are organized produce “see-saw” commands, so increasing output hemisphere accompanied by decreasing hemisphere. Together, our results internal external drives integrated motor commands different timescales, for flexible precise space.

Language: Английский

Citations

72
Fine-grained descending control of steering in walking Drosophila DOI Creative Commons
Helen H. Yang,

Bella E. Brezovec,

Laia Serratosa Capdevila

et al.

Cell, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

16
Neural circuit mechanisms for steering control in walking Drosophila DOI Open Access

Aleksandr Rayshubskiy,

Stephen L. Holtz,

Alexander Shakeel Bates

et al.

Published: Nov. 27, 2024

Orienting behaviors provide a continuous stream of information about an organism’s sensory experiences and plans. Thus, to study the links between sensation action, it is useful identify neurons in brain that control orienting behaviors. Here we describe descending Drosophila predict influence orientation (heading) during walking. We show these cells have specialized functions: whereas one cell type predicts sustained low-gain steering, other transient high-gain steering. These latter integrate internally-directed steering signals from head direction system with stimulus-directed multimodal pathways. The inputs are organized produce “see-saw” commands, so increasing output hemisphere accompanied by decreasing hemisphere. Together, our results internal external drives integrated motor commands different timescales, for flexible precise space.

Language: Английский

Citations

14
Comparative connectomics of the descending and ascending neurons of theDrosophilanervous system: stereotypy and sexual dimorphism DOI Creative Commons
Tomke Stürner, P. D. Brooks, Laia Serratosa Capdevila

et al.

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

Published: June 6, 2024

In most complex nervous systems there is a clear anatomical separation between the nerve cord, which contains of final motor outputs necessary for behaviour, and brain. insects, neck connective both physical information bottleneck connecting brain ventral cord (VNC, spinal analogue) comprises diverse populations descending (DN), ascending (AN) sensory neurons, are crucial sensorimotor signalling control. Integrating three separate EM datasets, we now provide complete connectomic description neurons female system

Language: Английский

Citations

13
The fly connectome reveals a path to the effectome DOI Creative Commons
Dean A. Pospisil, Max Jameson Aragon, Sven Dorkenwald

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 201 - 209

Published: Oct. 2, 2024

Language: Английский

Citations

10
Connectomic analysis of taste circuits in Drosophila DOI Creative Commons

Sydney R. Walker,

Marco Peña-Garcia,

Anita V. Devineni

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 12, 2025

Abstract Our sense of taste is critical for regulating food consumption. The fruit fly Drosophila represents a highly tractable model to investigate mechanisms processing, but circuits beyond sensory neurons are largely unidentified. Here, we use whole-brain connectome the organization circuits. We trace pathways from four populations that detect different modalities and project subesophageal zone (SEZ), primary region brain. find second-order primarily located within SEZ segregated by modality, whereas third-order have more projections outside overlap between modalities. Taste out innervate regions implicated in feeding, olfactory learning. analyze interconnections pathways, characterize modality-dependent differences neuron properties, identify other types inputs onto computational simulations relate neuronal connectivity predicted activity. These studies provide insight into architecture

Language: Английский

Citations

1
NeuroMechFly 2.0, a framework for simulating embodied sensorimotor control in adultDrosophila DOI Creative Commons
Sibo Wang, Victor Alfred Stimpfling,

Thomas Ka Chung Lam

et al.

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

Published: Sept. 18, 2023

Abstract Discovering principles underlying the control of animal behavior requires a tight dialogue between experiments and neuromechanical models. Until now, such models, including NeuroMechFly for adult fly, Drosophila melanogaster , have primarily been used to investigate motor control. Far less studied with realistic body models is how brain systems work together perform hierarchical sensorimotor Here we present v2, framework that expands modeling by enabling visual olfactory sensing, ascending feedback, complex terrains can be navigated using leg adhesion. We illustrate its capabilities first constructing biologically inspired locomotor controllers use feedback path integration head stabilization. Then, add sensing this controller train it reinforcement learning multimodal navigation task in closed loop. Finally, more biorealistic two ways: our model navigates odor plume taxis strategy, uses connectome-constrained system network follow another simulated fly. With framework, accelerate discovery explanatory nervous develop machine learning-based autonomous artificial agents robots.

Language: Английский

Citations

12
Inhibitory control of locomotor statistics in walkingDrosophila DOI Creative Commons
Hannah Gattuso,

Karin A. van Hassel,

Jacob D. Freed

et al.

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

Published: April 16, 2024

In order to forage for food, many animals regulate not only specific limb movements but the statistics of locomotor behavior over time, example switching between long-range dispersal behaviors and more localized search depending on availability resources. How pre-motor circuits such is clear. Here we took advantage robust changes in evoked by attractive odors walking

Language: Английский

Citations

4