Alexandra Steinhilber

Diard, J., Phénix, T., Ginestet, É., Saghiran, A., Steinhilber, A., Charrier, C., Bosse, M.L., & Valdois, S. (2026). Cognitive Bayesian Algorithmic Modeling with Controlled Coherence Variables: Perceptual Attention, Novelty Detection and Top-Down Influence of Predicted Patterns. Cognitive Computation, 18(1). Doi:10.1007/s12559-026-10600-y

Steinhilber, A., Diard, J., Ginestet, E., & Valdois, S. (2026). Context and prior phonological knowledge as a support for novel word learning: A computational study with the BRAID-Acq model. Psychonomic Bulletin and Review, 33(5). Doi:10.3758/s13423-026-02921-8

Valdois, S., Ginestet, E., Steinhilber, A., Zoubrinetzky, R., & Diard, J. (2025). Visual-span deficit and developmental dyslexia: from research to practice. ANAE Approche Neuropsychologique Des Apprentissages Chez L Enfant(197), 506-514.

Steinhilber, A., Diard, J., Ginestet, E., & Valdois, S. (2023). Visual attention modulates the transition from fine-grained, serial processing to coarser-grained, more parallel processing: A computational modeling study. Vision Research, 207. Doi:10.1016/j.visres.2023.108211

Steinhilber, A., Valdois, S., & Diard, J. (2022). Bayesian comparators: a probabilistic modeling tool for similarity evaluation between predicted and perceived patterns. Proceedings of the 44th Annual Meeting of the Cognitive Science Society Cognitive Diversity Cogsci 2022, 2264-2270.