Description du projet
Réflexion sur les mécanismes neuronaux de la recherche créative
Le cerveau humain est capable de trouver des solutions à des questions complexes en cherchant dans de vastes espaces mentaux de pensée. Alors que la pensée créative gagne en importance, il est essentiel de comprendre la relation entre les stratégies de recherche des personnes et la structure, l’activité et la connectivité de leur cerveau. Malheureusement, il n’existe actuellement aucun principe informatique établi permettant d’intégrer les résultats comportementaux, neurobiologiques et de calcul dans une compréhension globale de la recherche créative. Le projet CreativeBrain, financé par l’UE, utilisera des principes de calcul et des méthodes d’analyse inspirés de la biologie, tels que la détection invariante à l’échelle et l’optimalité de Pareto. Ces résultats amélioreront notre compréhension de la base neuronale de la créativité et auront des implications importantes pour des domaines tels que les neurosciences et l’intelligence artificielle.
Objectif
The human brain efficiently searches enormous mental spaces of thought for solutions to a given question. How is this done? The growing importance of creative search has sparked a surge of interest in mapping the relations between people’s creative search strategies and the structure, activity, and connectivity of their brain. Yet to date there are no coherent computational principles to bind behavioral, computational, and neurobiological findings together into a mechanistic understanding of creative search. CreativeBrain uses two such computational principles: scale-invariant sensing and Pareto optimality. Scale-invariant sensing is essential for a robust search in environments with signals that span many orders of magnitude like in creative search. Pareto optimality asserts that individual differences stem from different balancing between competing tasks that need to be optimized and thus explains the utility of these individual differences. CreativeBrain will employ state-of-the-art computational and analysis methods from systems biology to infer the neural mechanism of creative search on the levels of function, computations and neural implementation. This will be the first comprehensive research effort that ties these findings to a mechanistic theory of creative search that also explains the utility of neural individual differences. The project will result in a breakthrough in our understanding of how the human brain can efficiently search in vast spaces of thought. On a broader scale, CreativeBrain will open a new front in the interdisciplinary studies of the mind and brain, offering a principled way to unite neurobiological, behavioral, and computational aspects into one holistic and mechanistic view. By doing so it will contribute significantly to the promise of computational modeling for connecting different levels of inquiry of a higher cognitive function in the brain and can thus be extended to other cognitive processes and systems.
Mots‑clés
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régime de financement
HORIZON-ERC - HORIZON ERC GrantsInstitution d’accueil
91904 Jerusalem
Israël