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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.
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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
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The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
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Corticocortical Systems Underlying High-Order Motor Control.

Alexandra Battaglia-Mayer1, Roberto Caminiti2,3

  • 1Department of Physiology and Pharmacology, University of Rome, Sapienza, 00185 Rome, Italy, and alexandra.battagliamayer@uniroma1.it.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|March 20, 2019
PubMed
Summary
This summary is machine-generated.

Understanding corticocortical connections is key for motor control. This review examines how these networks in primates and rodents learn and produce skilled actions, offering insights into cognitive-motor control.

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Area of Science:

  • Neuroscience
  • Motor Control
  • Cognitive Neuroscience

Background:

  • Cortical networks, defined by connection origin, destination, and reciprocity, are crucial for cognitive-motor control.
  • Parietofrontal connections are central to motor control, influencing movement generation and action selection via parallel pathways.
  • The precise role of corticocortical connections in motor control and network recruitment remains incompletely understood.

Purpose of the Study:

  • To review and synthesize findings on how corticocortical systems contribute to learning and producing skilled actions.
  • To provide a viewpoint based on nonhuman primate and rodent experimental data.
  • To highlight the importance of understanding these networks for interpreting motor deficits after lesions.

Main Methods:

  • Evaluation of results from nonhuman primate experiments.
  • Analysis of data from selected rodent experiments.
  • Comparison of findings with human MRI-based studies (resting-state connectivity, diffusion tract-tracing) and histological studies.

Main Results:

  • Parietofrontal networks are integral to orchestrating movement generation and action characteristics.
  • Challenges remain in understanding signal integration, transthalamic modulation, and conduction delays in these networks.
  • Corticocortical systems play a significant role in the learning and execution of skilled motor behaviors.

Conclusions:

  • Further research is needed to fully elucidate the dynamical aspects of parietofrontal operations.
  • Understanding corticocortical networks is essential for both basic science and clinical applications in motor control.
  • Integrating data from animal models and human imaging techniques is vital for advancing the field.