Foot placement control underlies stable locomotion across species DOI Creative Commons
Antoine De Comite, Nidhi Seethapathi

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

Опубликована: Сен. 14, 2024

Abstract Animals navigate their environment stably without inefficient course corrections despite unavoidable errors. In humans and some robots, this stability is achieved by controlling the placement of foot on ground such that recent movement errors are corrected. However, it unknown how animals with diverse nervous systems body mechanics use control: trajectories many- legged thought to be stereotypical velocity-driven patterns, as opposed error-driven. Here, we posit a unified “feedforward-feedback” control structure for stabilizing combining state error-driven contributions. We provide empirical support across flies, mice mining variability in placements states during natural locomotion. find competing “feedforward-only” purely not supported data. This work discovers shared behavioral signatures error-dependent locomotion mice, humans. urgency centralization vary animal’s neuromechanical embodiment; more inherently stable many-legged embodiment associated lower magnitude timescale. Further, accompanied modular direction- leg-specific signatures, which centralized both legs Taken together, our findings insight into species, revealing different embodiments achieve functional goal.

Язык: Английский

Presynaptic inhibition selectively suppresses leg proprioception in behavingDrosophila DOI Creative Commons
Chris J. Dallmann, Yichen Luo, Sweta Agrawal

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Окт. 23, 2023

Controlling arms and legs requires feedback from proprioceptive sensory neurons that detect joint position movement. Proprioceptive must be tuned for different behavioral contexts, but the underlying circuit mechanisms remain poorly understood. Using calcium imaging in behaving

Язык: Английский

Процитировано

11
Foot placement control underlies stable locomotion across species DOI Creative Commons
Antoine De Comite, Nidhi Seethapathi

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

Опубликована: Сен. 14, 2024

Abstract Animals navigate their environment stably without inefficient course corrections despite unavoidable errors. In humans and some robots, this stability is achieved by controlling the placement of foot on ground such that recent movement errors are corrected. However, it unknown how animals with diverse nervous systems body mechanics use control: trajectories many- legged thought to be stereotypical velocity-driven patterns, as opposed error-driven. Here, we posit a unified “feedforward-feedback” control structure for stabilizing combining state error-driven contributions. We provide empirical support across flies, mice mining variability in placements states during natural locomotion. find competing “feedforward-only” purely not supported data. This work discovers shared behavioral signatures error-dependent locomotion mice, humans. urgency centralization vary animal’s neuromechanical embodiment; more inherently stable many-legged embodiment associated lower magnitude timescale. Further, accompanied modular direction- leg-specific signatures, which centralized both legs Taken together, our findings insight into species, revealing different embodiments achieve functional goal.

Язык: Английский

Процитировано

1