Context-dependence of deterministic and nondeterministic contributions to closed-loop steering control
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study reveals how steering behavior in monkeys changes based on context. Using a novel analysis, researchers found that both the control system and the noise in the system adapt to different tasks.
Area Of Science
- Neuroscience
- Motor Control
- Computational Biology
Background
- Sensory systems and motor output normally function in a closed loop, where actions influence sensory feedback.
- Steering, aligning heading with a goal, exemplifies sensorimotor processing where motor commands correct heading errors.
Purpose Of The Study
- To disentangle deterministic and nondeterministic processes in closed-loop sensorimotor behavior, specifically steering.
- To analyze behavioral data from monkeys steering in a virtual environment using a nonparametric, linear kernel-based approach.
Main Methods
- Applied a nonparametric, linear kernel-based analysis to monkey steering data in two distinct experimental contexts.
- Modeled the steering transformation as a second-order linear system and analyzed the parameters of the fitted kernels.
- Fitted residuals to a noise model to characterize nondeterministic components of the behavior.
Main Results
- The fitted kernels showed significant differences across tasks, indicating context-dependent changes in neural and biomechanical parameters like stiffness and viscosity.
- The form of the noise (nondeterministic component) was highly conserved across contexts and animals.
- The observed noise pattern closely matched that previously found in human steering tasks.
Conclusions
- Steering behavior involves context-dependent deterministic processes, challenging the assumption of constant limb properties.
- Nondeterministic processes (noise) in steering are remarkably consistent across different tasks, individuals, and even species.
- This kernel-based analysis effectively characterizes the context-dependent nature of both deterministic and nondeterministic elements in closed-loop sensorimotor tasks.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...