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

Descending networks transform command signals into population motor control DOI Creative Commons
Jonas Braun, Femke Hurtak, Sibo Wang

et al.

Nature, Journal Year: 2024, Volume and Issue: 630(8017), P. 686 - 694

Published: June 5, 2024

Abstract To convert intentions into actions, movement instructions must pass from the brain to downstream motor circuits through descending neurons (DNs). These include small sets of command-like that are sufficient drive behaviours 1 —the circuit mechanisms for which remain unclear. Here we show DNs in Drosophila directly recruit networks additional orchestrate require active control numerous body parts. Specifically, found previously thought alone 2–4 fact co-activate larger populations DNs. Connectome analyses and experimental manipulations revealed this functional recruitment can be explained by direct excitatory connections between interconnected brain. Descending population is necessary behavioural control: with many partners network co-activation complete only simple stereotyped movements their absence. DN reside within behaviour-specific clusters inhibit one another. results support a mechanism generated increasingly large compose combining multiple subroutines.

Language: Английский

Citations

16

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

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

12

Sensorimotor delays constrain robust locomotion in a 3D kinematic model of fly walking DOI Open Access
Pierre Karashchuk, Jing Shuang Li, Grant M Chou

et al.

Published: March 20, 2025

Walking animals must maintain stability in the presence of external perturbations, despite significant temporal delays neural signaling and muscle actuation. Here, we develop a 3D kinematic model with layered control architecture to investigate how sensorimotor constrain robustness walking behavior fruit fly, Drosophila. Motivated by anatomical insect locomotor circuits, our consists three component layers: network that generates realistic joint kinematics for each leg, an optimal controller executes while accounting delays, inter-leg coordinator. The simulated resembles real fly sustains even when subjected unexpected generalizing beyond its training data. However, found model’s perturbations deteriorates delay parameters exceed physiological range. These results suggest circuits operate close limit at which they can detect respond perturbations. More broadly, show modular, be used constraints on animal behavior.

Language: Английский

Citations

0

Insect Flight: State of the Field and Future Directions DOI
Lisa A. Treidel, Kevin D. Deem, Mary K. Salcedo

et al.

Integrative and Comparative Biology, Journal Year: 2024, Volume and Issue: 64(2), P. 533 - 555

Published: July 8, 2024

The evolution of flight in an early winged insect ancestral lineage is recognized as a key adaptation explaining the unparalleled success and diversification insects. Subsequent transitions modifications to machinery, including secondary reductions losses, also play central role shaping impacts insects on broadscale geographic ecological processes patterns present future. Given importance flight, there has been centuries-long history research debate evolutionary origins biological mechanisms flight. Here, we revisit this from interdisciplinary perspective, discussing recent discoveries regarding developmental origins, physiology, biomechanics, neurobiology sensory control diverse set models. We identify major outstanding questions yet be addressed provide recommendations for overcoming current methodological challenges faced when studying which will allow field continue move forward new exciting directions. By integrating mechanistic work into contexts, hope that synthesis promotes stimulates efforts necessary close many existing gaps about causes consequences evolution.

Language: Английский

Citations

2

Sensorimotor delays constrain robust locomotion in a 3D kinematic model of fly walking DOI Creative Commons
Pierre Karashchuk, Jing Shuang Li, Grant M Chou

et al.

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

Published: April 22, 2024

Abstract Walking animals must maintain stability in the presence of external perturbations, despite significant temporal delays neural signaling and muscle actuation. Here, we develop a 3D kinematic model with layered control architecture to investigate how sensorimotor constrain robustness walking behavior fruit fly, Drosophila. Motivated by anatomical insect locomotor circuits, our consists three component layers: network that generates realistic joint kinematics for each leg, an optimal controller executes while accounting delays, inter-leg coordinator. The simulated resembles real fly sustains even when subjected unexpected generalizing beyond its training data. However, found model’s perturbations deteriorates delay parameters exceed physiological range. These results suggest circuits operate close limit at which they can detect respond perturbations. More broadly, show modular, be used constraints on animal behavior.

Language: Английский

Citations

1

Mind-body control: a new perspective on motor neuron function DOI Creative Commons

Maria-Luise Petrovic-Erfurth,

Albena Jordanova

Signal Transduction and Targeted Therapy, Journal Year: 2024, Volume and Issue: 9(1)

Published: Aug. 30, 2024

Language: Английский

Citations

0

Many faces of neuronal activity manipulation in Drosophila DOI Creative Commons

Amber Krebs,

Steffen Kautzmann,

Christian Klämbt

et al.

Neural Regeneration Research, Journal Year: 2024, Volume and Issue: 20(9), P. 2574 - 2576

Published: Sept. 6, 2024

Language: Английский

Citations

0

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

0