Modèle Dehaene-Changeux

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Dehaene–Changeux model

The Dehaene–Changeux model (DCM), also known as the global neuronal workspace or the global cognitive workspace model is a part of Bernard Baars's "global workspace model" for consciousness.

It is a computer model of the neural correlates of consciousness programmed as a neural network. It attempts to reproduce the swarm behaviour[clarification needed] of the brain's higher cognitive functions such as consciousness, decision-making[1] and the central executive functions. It was developed by cognitive neuroscientists Stanislas Dehaene and Jean-Pierre Changeux beginning in 1986.[2] It has been used to provide a predictive framework to the study of inattentional blindness and the solving of the Tower of London test.[3][4]

Source : Source : Wikipedia

Source : Wikipedia Machine learning algorithms