<description>&lt;p&gt;Stanislas Dehaene&lt;/p&gt;&lt;p&gt;Chaire Psychologie cognitive expérimentale&lt;/p&gt;&lt;p&gt;Année 2025-2026&lt;/p&gt;&lt;p&gt;Collège de France&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Colloque : Seeing the Mind, Educating the Brain&lt;/p&gt;&lt;p&gt;Theme: Human Singularity&lt;/p&gt;&lt;p&gt;Uniquely Human Prediction?&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Colloque - Floris de Lange : Uniquely Human Prediction?&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Floris de Lange&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Résumé&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;The brain is fundamentally a predictive organ that uses internal models to extrapolate future events from current inputs. While this predictive capacity exists across species, what may be uniquely human are the specific internal models we employ. Using AI tools to quantify predictability in naturalistic environments, we can examine prediction at multiple levels of abstraction. In my talk I will highlight recent work from the domain of language, music and visual perception, elucidating how uniquely human experiences and capabilities shape our predictive models of the world.&lt;/p&gt;</description>

Psychologie cognitive expérimentale - Stanislas Dehaene

Collège de France

Colloque - Floris de Lange : Uniquely Human Prediction?

OCT 3, 202534 MIN
Psychologie cognitive expérimentale - Stanislas Dehaene

Colloque - Floris de Lange : Uniquely Human Prediction?

OCT 3, 202534 MIN

Description

<p>Stanislas Dehaene</p><p>Chaire Psychologie cognitive expérimentale</p><p>Année 2025-2026</p><p>Collège de France</p><p></p><p>Colloque : Seeing the Mind, Educating the Brain</p><p>Theme: Human Singularity</p><p>Uniquely Human Prediction?</p><p></p><p>Colloque - Floris de Lange : Uniquely Human Prediction?</p><p></p><p>Floris de Lange</p><p></p><p>Résumé</p><p></p><p>The brain is fundamentally a predictive organ that uses internal models to extrapolate future events from current inputs. While this predictive capacity exists across species, what may be uniquely human are the specific internal models we employ. Using AI tools to quantify predictability in naturalistic environments, we can examine prediction at multiple levels of abstraction. In my talk I will highlight recent work from the domain of language, music and visual perception, elucidating how uniquely human experiences and capabilities shape our predictive models of the world.</p>