For humans and other animals, predicting the timing of sensory events is essential for daily behavior. Importantly, natural sensory stimulation (such as movements, music, or speech) can present temporal regularities allowing for temporal prediction of incoming sensory information. The phenomenon of temporal prediction has for now been investigated experimentally in deterministic scenarios, i.e. when the duration between two sensory events is fixed, or when stimuli present a regular beat. The objective of this project is to understand how we process more natural, hence more complex forms of temporal regularities, and how individuals make inferences on the timing of sensory events based on past temporal statistics of sensory information. This is particularly important for speech processing, considering that speech is an acoustic signal that is known to possess some form of temporal regularity, and yet is not purely rhythmic nor has a
deterministic temporal structure.
The project will provide new insights on the brain mechanisms underlying the processing of complex temporal information in audition and speech in particular, and the role of these mechanisms in language comprehension.
The TEMPSTATS project is financed by the French National Research Agency (ANR)
deterministic temporal structure.
The project will provide new insights on the brain mechanisms underlying the processing of complex temporal information in audition and speech in particular, and the role of these mechanisms in language comprehension.
The TEMPSTATS project is financed by the French National Research Agency (ANR)