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Notre cerveau porte en lui des milliers de modèles du monde extérieur.
Stanislas Dehaene • Apprendre !: Les talents du cerveau, le défi des machines (OJ.SCIENCES)
apprendre, c’est fixer les paramètres d’un modèle hiérarchique de la réalité.
Stanislas Dehaene • Apprendre !: Les talents du cerveau, le défi des machines (OJ.SCIENCES)
Stanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine …
Stanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine …
In this view, learning becomes similar to programming: it consists of selecting the simplest internal formula that fits the data, among all those available in the language of thought.
Stanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
Melanie Boly, a neurologist and neuroscientist at the Medical School of the University of Wisconsin, Madison, is painstakingly collecting EEG data from long-term Buddhist meditators during a state known as pure presence, an experience with no self, no discursive thoughts, and no perceptual content except for a luminous expanse, an empty mirror. Att
... See moreChristof Koch • Then I Am Myself the World: What Consciousness Is and How to Expand It
Learning, in this sense, therefore means managing an internal hierarchy of rules and trying to infer, as soon as possible, the most general ones that summarize a whole series of observations.
Stanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
This classic effect (which is even more striking when the words are printed in color) reflects the intervention of your executive control system. When the words and colors conflict, the central executive must inhibit word reading to remain focused on the task of naming the ink color.
Stanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
Chunking the information you deal with helps your brain run more efficiently.