- Tuesday, February 4th 2020 at 16:00 - 17:00 UK (Other timezones)
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Valence is a fundamental concept in the learning and decision-making literature. However, in the reinforcement learning context, different facets of this psychological concept are often confounded and/or ill-defined. In the present talk we theoretically propose, mathematically formalize and experimentally investigate two different facets of valence: ‘contextual’ and ‘informational’. Combining imaging and modeling techniques in a series of studies, we found that these different aspects have dissociable computational and neural correlates, and exert powerful effects on human learning behavior. We conclude by showing results from a recent online experiments feature large scale testing and assessment of psychiatric traits.
Stefano Palminteri
Head of Human Reinforcement Learning Team
Laboratoire de Neurosciences Cognitives & Computationnelles
École normale supérieure
Département d’études cognitives