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Related Concept Videos

Control Systems01:10

Control Systems

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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.
At the heart...
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Network Function of a Circuit01:25

Network Function of a Circuit

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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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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...
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Control Systems: Applications01:25

Control Systems: Applications

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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.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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Differential Relays01:20

Differential Relays

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Differential relays are used to protect generators, buses, and transformers by comparing electrical quantities at different points. When a fault occurs, the difference in current between the two points triggers the relay to operate, opening the circuit breaker. Under normal conditions, the current entering (i1) and leaving (i2) a generator are equal. When a fault occurs, however, these currents become unequal, and the difference current flows in the relay operating coil, causing the relay to...
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Transfer Function in Control Systems01:21

Transfer Function in Control Systems

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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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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Default-mode network streams for coupling to language and control systems.

Evan M Gordon1,2,3, Timothy O Laumann4, Scott Marek5

  • 1Veterans Integrated Service Network 17 Center of Excellence for Research on Returning War Veterans, US Department of Veterans Affairs, Waco, TX 76711; evan.gordon@va.gov.

Proceedings of the National Academy of Sciences of the United States of America
|July 8, 2020
PubMed
Summary
This summary is machine-generated.

Individualized brain networks reveal detailed hierarchical substructures within the Default-mode Network (DMN). This approach offers a more valid and internally consistent framework for studying brain organization in humans.

Keywords:
Default networkbrain networksfMRIfunctional connectivityindividual variability

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Large-scale brain networks, identified via resting-state functional connectivity (RSFC), map to broad cognitive domains.
  • The Default-mode Network (DMN) is particularly active during internally oriented thought processes.
  • Existing network models may lack the granularity to capture specific cognitive functions.

Purpose of the Study:

  • To investigate if hierarchical substructures within functional brain networks can be identified using individual-specific RSFC.
  • To determine the validity and cross-subject reliability of these identified network subdivisions.
  • To explore the functional implications of these substructures, particularly within the DMN.

Main Methods:

  • Utilized individual-specific precision resting-state functional connectivity (RSFC) in 10 healthy human brains.
  • Compared the validity of individualized network subdivisions against canonical network definitions.
  • Assessed internal homogeneity and alignment with task-based activation patterns.

Main Results:

  • Individualized network subdivisions demonstrated higher validity and internal homogeneity than canonical networks.
  • Optimal network subdivision occurred at a hierarchical scale revealing approximately 83 subnetworks.
  • Nine DMN subnetworks showed consistent topographical organization across subjects, indicating homologous neurobiological circuits.

Conclusions:

  • The study successfully identified and validated hierarchical substructures within large-scale brain networks, including the DMN.
  • This fine-grained organizational framework enhances our understanding of brain-behavior relationships.
  • The findings provide a robust method for studying individual brain organization and its link to specific cognitive functions.