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Updated: Jul 10, 2026
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Published on: August 1, 2017
CODAM: a neural network model of consciousness
1Department of Mathematics, King's College, London, WC2R 2LS, UK. john.g.taylor@kcl.ac.uk
Summary
We review the Computational and Decision-making Access and Modulation (CODAM) neural network model to functionally explain consciousness. CODAM acts as a speed-up and error-correction mechanism, enhancing response speed and accuracy in control systems.
Area of Science:
- Cognitive Science
- Neuroscience
- Artificial Intelligence
Background:
- The nature of consciousness remains a complex challenge in cognitive science and neuroscience.
- Existing models offer partial explanations, necessitating further development for a comprehensive functional account.
Purpose of the Study:
- To review and extend the Computational and Decision-making Access and Modulation (CODAM) neural network control model of consciousness.
- To develop a functional account of consciousness based on the CODAM model's principles.
Main Methods:
- Review of the existing CODAM neural network control model.
- Development of the CODAM model to provide a functional explanation of consciousness.
- Application of engineering control theory concepts to consciousness.
Main Results:
- The CODAM model functions as a speed-up and error-correcting mechanism.
- This mechanism is analogous to efficient control systems in engineering, improving response speed and accuracy.
- The study generates predictions regarding how speed-up is achieved within this framework.
Conclusions:
- The CODAM model offers a promising framework for a functional account of consciousness.
- Its principles, rooted in control theory, elucidate mechanisms for enhanced cognitive speed and accuracy.
- Further research can explore CODAM's predictions for attention-based phenomena.
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