Vincent Moens
MD, PhD Student
Vincent is a Medicine graduated PhD Student. He joined the lab in 2013 with a project aimed at building computational models of behavior that combine Bayesian Statistics techniques, machine learning and neuropsychochological models of decision making. His main interest is the modelling behavioural flexibility in a Bayesian perspective, specifically in the context of Habitual and Goal-Directed behaviours (cfr. Habitual and goal-directed learning and Innovation sections).
Representative Publications
- Moens V, Zénon A. Black-Box Trial-by-trial Behavioural Modelling: A Variational Recurrent Inference Network optimisation algorithm for the Drift-Diffusion Model. Submitted
Posters
- Moens V and Zénon A. (2017, May). Simple and Full Drift Diffusion Model Under A Variational Bayes Algorithm. Seventh International Symposium on Biology of Decision Making. Bordeaux - France.
- Moens V, Zénon A. (2016, April). Drift-Diffusion-Model Integration Into A Hierarchical Reinforcement Learning Model Can Reveal Key Features Of Habitual Decision Making. Cognitive Neuroscience Society Annual Meeting. New York - USA.
- Moens V, Zénon A., Olivier E. (2015, October). Habits, action sequences and working memory from a behavioural and a computational perspective. Society for Neuroscience Annual Meeting. Chicago - USA
Contact
Institute of Neuroscience
Université catholique Louvain
Ave Mounier 53 - Bte B1.53.04
1200 Bruxelles, Belgium
Phone: (+32) 02/764.54.32
Email : This email address is being protected from spambots. You need JavaScript enabled to view it.
ResearchGate: https://www.researchgate.net/profile/Vincent_Moens
Other lab members
- Julie DUQUE, principal investigator
- Gérard DEROSIERE
- Caroline QUOILIN
- Charles-Etienne BENOIT
- Julien GRANDJEAN
- Vincent MOENS
- Oleg SOLOPCHUK
- Emmanuelle WILHELM
- Simon VAN HEMELRIJCK
- Pierre VASSILIADIS
