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Paying attention to consciousness.

John G Taylor1

  • 1Department of Mathematics, King's College London, London WC2R 2LS, UK. john.g.taylor@kcl.ac.uk

Progress in Neurobiology
|December 31, 2003
PubMed
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This study presents an engineering control model for attention movement, drawing parallels with motor control. The model, extended to consciousness, explains phenomena like the attentional blink.

Area of Science:

  • Cognitive Neuroscience
  • Engineering Control Theory
  • Computational Neuroscience

Background:

  • Experimental data suggests distinct neural sites for attention modulation and its generation.
  • Motor control has been successfully modeled using engineering approaches.
  • Existing models lack a comprehensive framework for attention's dynamic aspects.

Purpose of the Study:

  • To develop an engineering control model for the dynamic movement of attention.
  • To extend this framework to explain attended motor learning and the emergence of consciousness.
  • To utilize the COrollary Discharge of Attention Movement (CODAM) model for analyzing neural temporal dynamics.

Main Methods:

  • Reviewing experimental data on attention and motor control.

Related Experiment Videos

  • Developing a computational model based on control theory principles.
  • Simulating the model's modules and analyzing qualitative results.
  • Extending the CODAM model to incorporate temporal brain activity.

    • Main Results:

    • The developed control model supports the existence of key modules for attention movement.
    • Simulations and analyses validate the extended framework for motor learning and consciousness.
    • The CODAM model's signals correlate with phenomena like the attentional blink and neglect.

    Conclusions:

    • An engineering control framework provides a robust model for attention dynamics.
    • The extended CODAM model offers insights into consciousness and temporal brain processing.
    • Further research is needed to explore the CODAM model's full potential and address open questions.