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In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
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A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
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Clarifying cognitive control and the controllable connectome.

John D Medaglia1,2

  • 1Department of Psychology, Drexel University, Philadelphia, Pennsylvania.

Wiley Interdisciplinary Reviews. Cognitive Science
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PubMed
Summary
This summary is machine-generated.

Cognitive control research benefits from integrating insights from control theory and cognitive neuroscience. Synergistic approaches enhance understanding of adaptive cognition in human brain networks while minimizing conceptual confusion.

Keywords:
cognitive controlcontrol theorydiffusion imagingfMRIneural networks

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Area of Science:

  • Neuroscience (Cognition, Clinical Neuroscience)
  • Computer Science (Neural Networks)

Background:

  • Cognitive control research focuses on adaptive cognition for goal achievement.
  • Control theory addresses influencing system states towards user-defined goals.
  • Similarities exist between cognitive control and control theory, offering research potential but risking confusion.

Purpose of the Study:

  • To explore the intersection of cognitive control and control theory.
  • To identify opportunities for synergistic research.
  • To critically evaluate potential conceptual confusion between the fields.

Main Methods:

  • Conceptual analysis of cognitive control and control theory.
  • Identification of shared concepts and distinct insights.
  • Proposal for integrating findings from both disciplines.

Main Results:

  • Both cognitive control and control theory offer unique contributions.
  • Synergistic research can yield novel insights into human brain networks.
  • A critical stance is necessary to avoid conceptual conflation.

Conclusions:

  • Cognitive neuroscience and systems engineering can significantly advance cognitive control research.
  • Interdisciplinary collaboration holds promise for understanding adaptive cognition.
  • Careful integration is key to leveraging the strengths of both fields.