Towards a computational neurophysiology of covert auditory processing in health and disease

Le lunch talk Jean-Julien Aucouturier, est annulé en raison des perturbations dans les transports.

Nous sommes sincèrement désolé pour cette annulation de dernière minute.

Bien à vous

Etienne Thoret

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Jean-Julien Aucouturier

Abstract: The past 10 years have seen the emergence in the cognitive neuroscience community of a novel class of ‘data-driven’ methods inspired by psychophysical reverse-correlation, which allow researchers to model a participant’s behavioral responses to arbitrarily generated visual or auditory stimuli (Adolphs et al. 2016). Taking the example of some of our recent results on the perception of speech prosody (Ponsot et al., PNAS 2018; Goupil et al. Nature Communications 2021), I will show how to extend these new methodologies to the analysis of neurophysiological data, in order to identify the sensory mechanisms that underly covert auditory processing in both healthy participants, stroke and coma patients.

Bio: Jean-Julien Aucouturier was trained at SONY Computer Science Laboratories with François Pachet and holds a PhD in Computer Science from Université Pierre et Marie Curie (2006). JJ has then held several postdoctoral positions in cognitive neuroscience at the University of Tokyo with Takashi Ikegami and at the RIKEN Brain Science Institute with Kazuo Okanoya. After a decade at IRCAM in Paris where he directed the ERC-funded CREAM music neuroscience team, he is now Directeur de recherche CNRS (equiv. Full Professor) at the FEMTO-ST Institute (CNRS/Université de Bourgogne Franche-Comté) in Besançon, France. His research program in FEMTO-ST is based on data-driven, system-science approaches to clinical neurophysiology, with a focus on the auditory/speech modality, and health technology applications in neurology and psychiatry. Lab website: https://neuro-team-femto.github.io