How the Brain Decides When to Work and When to Rest: Dissociation of Implicit-Reactive from Explicit-Predictive Computational Processes. - Florent Meyniel; Lou Safra; Mathias Pessiglione (PLoS Comput. Biol., 2014)

The Sense of Confidence during Probabilistic Learning: A Normative Account. - Florent Meyniel; Daniel Schlunegger; Stanislas Dehaene (PLoS Comput. Biol., 2015)

Human Inferences about Sequences: A Minimal Transition Probability Model. - Florent Meyniel; Maxime Maheu; Stanislas Dehaene (PLoS Comput. Biol., 2016)

Confidence resets reveal hierarchical adaptive learning in humans. - Micha Heilbron; Florent Meyniel (PLoS Comput. Biol., 2019)

Brain dynamics for confidence-weighted learning. - Florent Meyniel (PLoS Comput. Biol., 2020)

Biases and Variability from Costly Bayesian Inference. - Arthur Prat-Carrabin; Florent Meyniel; Misha Tsodyks; Rava Azeredo da Silveira (Entropy, 2021)

A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans. - Samuel Planton; Timo van Kerkoerle; Leïla Abbih; Maxime Maheu; Florent Meyniel; Mariano Sigman; Liping Wang; Santiago Figueira; Sergio Romano; Stanislas Dehaene (PLoS Comput. Biol., 2021)

A characterization of the neural representation of confidence during probabilistic learning. - Tiffany Bounmy; Evelyn Eger; Florent Meyniel (NeuroImage, 2023)