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    Operationalizing a Multi-Scale Account of Social Cognition
    Dr. Guillaume Dumas, Human Genetics and Cognitive Functions Lab, Pasteur Institute, Paris
    Operationalizing a Multi-Scale Account of Social Cognition
    How are neural, behavioral and social scales coordinated in real time so as to make possible the emergence of social cognition? Answering this question requires to study the dynamics of coordination in real human interactions. However, even at the simplest dyadic scale, methodological and theoretical challenges remain. Several theories have been proposed to infer the link between neurobiology and social psychology, but the dynamical components of human interaction are still poorly explored because of the difficulty to record simultaneously the brain activity from several subjects. This is the goal of hyperscanning methodology. I will first present how the combination of situated social paradigms with hyperscanning allowed to demonstrate that states of interactional synchrony at the behavioral level correlate with the emergence of inter-individual synchronization at the brain level (Dumas et al. PLoS ONE 2010). These inter-brain synchronization appeared to reflect in different frequency bands different aspects of social interaction, such as interactional synchrony, anticipation of other\\\\\\\'s actions and co-regulation of turn-taking. Then, I will present how such phenomena can be simulated with biologically inspired numerical simulations (e.g. using direct measures of brain connectivity with DTI) and how the human connectome facilitates inter-individual synchronizations and thus may partly account for our propensity to generate dynamical couplings with others (Dumas et al. PLoS ONE 2012). Finally, I will present another tool called the Human Dynamic Clamp (HDC) (Dumas et al. PNAS 2014). This HDC integrates equations of human motion at the neurobehavioral level. A human and a \\\\\\\"virtual partner\\\\\\\" are then reciprocally coupled in real-time, which allow controlling the dynamical parameters of the interaction while maintaining the continuous flow of interaction. This technique scaled up to the level of human behavior the idea of dynamic clamps used to study the dynamics of interactions between neurons. Combining human-human and human-machine interactions thus presents new approaches for investigating the neurobiological mechanisms of social interaction, and for testing theoretical/computational models concerning the dynamics at the neural, behavioral and social scales. The conclusion will illustrate the need to bridge the gap between those levels (and disciplines) with the example of autism where neurogenetics and systems biology may help tackling the heterogeneity across genotype, neural endophenotype, and socio-behavioral phenotype levels (Dumas et al. Front. Psychol. 2014)
    CIMH Mannheim, Therapy Building, big lecture hall, 15:00-16:00