Brain Dynamics

Research center

CEA Saclay Bât 145
91190 Gif-sur-Yvette
Stanislas Dehaene


Direction des Sciences du Vivant
Institut d'Imagerie BioMédicale
ED158 3C


Cognitive Neuroimaging Unit
IDEX Neuro Saclay

Mots clefs

Multisensory integration
neural oscillations
temporal cognition


Gauthier B, van Wassenhove V. Time Is Not Space: Core Computations and Domain-Specific Networks for Mental Travels. J Neurosci. 2016 Nov 23;36(47):11891-11903. 

Martin, J. R., #Kösem, A., & #van Wassenhove, V. (2015). Hysteresis in Audiovisual Synchrony Perception. e0119365.

Strauss, M., Sitt, J. D., King, J. R., Elbaz, M., #Azizi, L., #Buiatti, M., ... & Dehaene, S. (2015). Disruption of hierarchical predictivecoding during sleep. Proceedings of the National Academy of Sciences, 112(11), E1353-E1362.

Strauss, M., Sitt, J., King, J. R., Elbaz, M., Azizi, L., #Buiatti, M., ... & Dehaene, S. (2015). Atteinte des processus de prédiction maisconservation de l’adaptation sensorielle au cours du sommeil. Médecine du Sommeil, 12(1), 58.

Strauss, M., Sitt, J., King, J. R., Elbaz, M., Naccache, L., #Van Wassenhove, V., & Dehaene, S. (2015). Atteinte des systèmesprédictifs dans le sommeil.Revue Neurologique, 171, A172.

#van Wassenhove, V., & #Grzeczkowski, L. (2015). Visual-induced expectations modulate auditory cortical responses. Frontiers inNeuroscience, 9, 11.

Fields of research

Cognitive neurosciences / neuropsychology /neuroeconomy

Research Theme

The Brain Dynamics group focuses on the chronoarchitecture of the Human brain supporting perception and cognition.Our work is committed to the view that perception and cognition rely on inferential brain processes which are fundamental to contemporary theories of cortical functions. Neural inferences are shaped by both hard and soft constraints e.g. cognitive architecture and plasticity, respectively. We contend that generative models circumvent such classic problems as non-invariance and poverty of the stimulus by robust predictions of incoming sensory inputs; conversely, generated predictions can be continuously refined by incoming evidence. In this context, how can multiple representational formats interface in the brain? What operational principles can we draw from complex neural dynamics to account for perception and high-level (temporal) cognition? (e.g. van Wassenhove, Front Psyc 2013)

Broadly speaking, our research emphasizes on the nature of representations, the dynamics of cortical functions and their interfacing with temporal cognition. Specifically, one line of inquiry focuses on multisensory integration and (met- or supr-)amodal processing. Sophisticated sensory systems have endowed us with the ability to sense the environment and calibrate our actions towards it. Textbook knowledge distinguishes separate sensory systems (i.e. audition, vision…) yet it has become clear that their strict independence is a gross oversimplification of cortical organization and perception. Can multisensory integration be a first step towards abstraction in the brain? What multisensory Gestalts operate in this integration process and how are they implemented? When do multisensory and supramodal processing take place? (e.g. Zilber et al. NIMG 2014)

From a different perspective, neural oscillations have become an important operational description of cortical functions. Oscillatory activity has been implicated in such various domains as speech processing, attentional selection, working memory or conscious awareness. However, one possible natural and canonical function of neural oscillations may be the temporal logistics of neural operations. If neural oscillations play a key role in the structuring of events in time, are these logistical functions pervasive to temporal cognition (e.g. Kösem et al. NIMG 2014)?  Can distinct neurophysiological markers index the structuring of events in time specifically for temporal cognition? In turn, does our mental time representation affect low-level encoding for time?

These lines of inquiries are mainly addressed using non-invasive and temporally-resolved neuroimaging techniques such as magnetoencephalography (MEG) and electroencephalography (EEG) to derive the functional macro- and mesoscopic descriptions of Human brain dynamics. We combine them with psychophysics, eyetracking and decoding methods.