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Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

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

Neural Networks : the Official Journal of the International Neural Network Society

|October 16, 2007

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.

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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.