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  1. Collective Behavior

    Our decisions, learning experiences and emotions depend on other people, and conversely the patterns in collectives result from interacting individuals. What are the rules of interaction? Which patterns can emerge?

    Our aim is to reach a quantitative understanding of individual and collective behavior, including collective coordination, collective decisions and collective intelligence. We approach this problem using a variety of techniques, including behavior, mathematical modelling, machine learning and artificial intelligence, virtual reality, neurobiology, and molecular biology. We chose to implement this approach in zebrafish and humans.

Key publications