The Theory of Neural Cognition Applied to Robotics

The Theory of neural Cognition (TnC) states that the brain does not process information, it only represents information (i.e., it is ‘only’ a memory). The TnC explains how a memory can become an actor pursuing various goals, and proposes explanations concerning the implementation of a large variety...

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Main Author: Claude F. Touzet
Format: Article
Language:English
Published: SAGE Publishing 2015-06-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/60693
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author Claude F. Touzet
author_facet Claude F. Touzet
author_sort Claude F. Touzet
collection DOAJ
description The Theory of neural Cognition (TnC) states that the brain does not process information, it only represents information (i.e., it is ‘only’ a memory). The TnC explains how a memory can become an actor pursuing various goals, and proposes explanations concerning the implementation of a large variety of cognitive abilities, such as attention, memory, language, planning, intelligence, emotions, motivation, pleasure, consciousness and personality. The explanatory power of this new framework extends further though, to tackle special psychological states such as hypnosis, the placebo effect and sleep, and brain diseases such as autism, Alzheimer's disease and schizophrenia. The most interesting findings concern robotics: because the TnC considers the cortical column to be the key cognitive unit (instead of the neuron), it reduces the requirements for a brain implementation to only 160,000 units (instead of 86 billion). A robot exhibiting human-like cognitive abilities is therefore within our reach.
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spelling doaj.art-bfefc0c0d770431f9ab7a8247b2d42ee2022-12-22T01:21:21ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142015-06-011210.5772/6069310.5772_60693The Theory of Neural Cognition Applied to RoboticsClaude F. Touzet0 Aix Marseille Université, CNRS, Marseille, FranceThe Theory of neural Cognition (TnC) states that the brain does not process information, it only represents information (i.e., it is ‘only’ a memory). The TnC explains how a memory can become an actor pursuing various goals, and proposes explanations concerning the implementation of a large variety of cognitive abilities, such as attention, memory, language, planning, intelligence, emotions, motivation, pleasure, consciousness and personality. The explanatory power of this new framework extends further though, to tackle special psychological states such as hypnosis, the placebo effect and sleep, and brain diseases such as autism, Alzheimer's disease and schizophrenia. The most interesting findings concern robotics: because the TnC considers the cortical column to be the key cognitive unit (instead of the neuron), it reduces the requirements for a brain implementation to only 160,000 units (instead of 86 billion). A robot exhibiting human-like cognitive abilities is therefore within our reach.https://doi.org/10.5772/60693
spellingShingle Claude F. Touzet
The Theory of Neural Cognition Applied to Robotics
International Journal of Advanced Robotic Systems
title The Theory of Neural Cognition Applied to Robotics
title_full The Theory of Neural Cognition Applied to Robotics
title_fullStr The Theory of Neural Cognition Applied to Robotics
title_full_unstemmed The Theory of Neural Cognition Applied to Robotics
title_short The Theory of Neural Cognition Applied to Robotics
title_sort theory of neural cognition applied to robotics
url https://doi.org/10.5772/60693
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