Committee
Guillaume Dezecache (IRD, Université Paris Saclay) - Reviewer
Ivana Konvalinka(Technical University of Denmark) - Reviewer
Brian Parkinson (University of Oxford) - Examiner
Bernard Rimé (Université Catholique de Louvain) - Examiner
Mikko Salmela (University of Copenhagen) - Examiner
Julie Grèzes (Inserm, ENS, PSL) - Co-supervisor
Elisabeth Pacherie (CNRS, ENS, PSL, EHESS) - Co-supervisor

PINTS is an annual event aimed to bring together cognitive, computational, and systems neuroscience researchers from the Paris region.

This year's symposium will feature keynote and invited lectures by renowned speakers, with a primary focus on contributed talks from the community. We encourage everyone to submit an abstract for a talk and/or poster at PINTS. Submissions are welcome from all career stages, and you are welcome to recycle abstracts from previous conferences (e.g. SFN or COSYNE).

Abstract: Reinforcement learning (RL) encompasses different applications in machine learning, psychology, and neuroscience, emerging from the combination of animal learning theories and mathematical algorithms. It is a great tool to study decision-making and explore inter-groups differences. In this work, we use RL modeling to investigate decision making biases that take place at different stages of decision-making and that are expressed in various ways depending on the population.