My research focuses on implicit timing, and how it benefits audition. I study how temporal predictions are formed implicitly from the temporal statistics of sensory inputs using Bayesian models, and how these predictions interact with the auditory sensory analysis to benefit hearing. Furthermore, I investigate the neural dynamics that implement endogenous temporal predictions, with a specific interest in (slow) neural oscillations.
Methods/Tools: Psychophysics, Computational Modelling, Electroencephalography (EEG), Magnetoencephalography (MEG)
Publications: google scholar
Funding: ANR [JCJC] WHEN – Investigating the representation of temporal predictions and their functional consequences for audition
We are looking for Master students interested in working with us in this project: openings
Contact: sophie dot herbst at cea dot fr
brainthemind.com 