CODAM: a neural network model of consciousness.
Neural networks : the official journal of the International Neural Network Society November 2007 DOI: 10.1016/j.neunet.2007.09.005 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that consciousness, modeled by CODAM, functions as a speed-up and error-correcting mechanism in neural control, improving response speed and accuracy. Proposes predictions for how this is achieved and links to attention phenomena. |
Abstract
We present a review of the CODAM neural network control model of consciousness and develop it to arrive at a functional account of consciousness. The main feature is as a speed-up and error-correcting mechanism known, in engineering control theory, to be efficient in improving the speed of response and accuracy of any control system. We use the CODAM model to generate a set of predictions as to how such speed-up is achieved, as well as relate to previous explanations by CODAM of various attention-based phenomena.