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Related Concept Videos

Effects of feedback01:24

Effects of feedback

Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
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Cell Signaling Feedback Loops

Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
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Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
Feedback control systems01:26

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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...
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Neural Regulation

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Positive and Negative Feedback Loops

Animal organs and organ systems constantly adjust to internal and external changes through a process called homeostasis ("steady state"). Examples of these changes include regulation of the level of glucose or calcium in the blood or internal responses to external temperatures. Homeostasis requires  maintaining an internal dynamic equilibrium:
Root Loci for Positive-Feedback Systems01:23

Root Loci for Positive-Feedback Systems

The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
The construction rules for the root locus in positive feedback systems are similar to those in...

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Related Experiment Video

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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

Neural information processing with feedback modulations.

Wenhao Zhang1, Si Wu

  • 1Institute of Neuroscience, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. whzhang@ion.ac.cn

Neural Computation
|March 21, 2012
PubMed
Summary
This summary is machine-generated.

Feedback connections in the central nervous system play crucial roles. Positive feedback enhances neural network stability and decoding, while negative feedback increases state mobility, potentially enabling anticipatory behavior in neural information processing.

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Area of Science:

  • Computational Neuroscience
  • Neural Networks
  • Systems Neuroscience

Background:

  • Ascending feedforward and descending feedback connections are integral to central nervous system sensory pathways.
  • Understanding the role of feedback interactions in neural information processing is essential.

Purpose of the Study:

  • To investigate the functional roles of feedback interactions in neural information processing.
  • To analyze the impact of feedback modulation on neural network dynamics and information decoding.

Main Methods:

  • Utilized a two-layer continuous attractor neural network (CANN) model.
  • Employed a projection method to simplify and reduce the dimensionality of network dynamics.
  • Performed analytical elucidation of feedback modulation effects.

Main Results:

  • Positive feedback was found to enhance network state stability and improve population decoding performance.
  • Negative feedback increased network state mobility, leading to spontaneously moving neural activity patterns ('bumps').
  • Strong negative feedback allowed the network response to anticipate stimulus movement.

Conclusions:

  • Feedback connections significantly modulate neural information processing dynamics.
  • Positive feedback supports stable representations, while negative feedback promotes dynamic processing and anticipatory capabilities.
  • Findings offer insights into the biological implications of feedback in neural circuits.