Modulating the coherence effect in causal-based processing. - Nicolas Marchant; Sergio E. Chaigneau (CogSci, 2020)

Designing probabilistic category learning experiments: The probabilistic prototype distortion task. - Nicolas Marchant; Sergio E. Chaigneau (CogSci, 2021)

Categorizing perceived causal events. - Nicolas Marchant; Bonan Zhao 001; Neil R. Bramley; Diego Morales; Sergio E. Chaigneau (CogSci, 2022)

An adaptive linear filter model of procedural category learning. - Nicolas Marchant; Enrique Canessa; Sergio E. Chaigneau (Cogn. Process., 2022)

Uncertainty can explain apparent mistakes in causal reasoning. - Nicolas Marchant; Tadeg Quillien; Sergio E. Chaigneau (CogSci, 2023)

A Context-Dependent Bayesian Account for Causal-Based Categorization. - Nicolas Marchant; Tadeg Quillien; Sergio E. Chaigneau (Cogn. Sci., 2023)