Objectif Motor skills are acquired through sensorimotor learning and can be executed without awareness. Experimental evidence suggests that the acquisition and execution of motor skills rely on multiple neural networks. On one hand, the basal ganglia (BG) are necessary for the acquisition of a motor skill through sensorimotor learning, but not for its execution later on. On the other hand, premotor networks, such as cortical motor areas, are required for both the learning and execution of motor skills. The respective role of the BG and premotor networks in sensorimotor learning however remains unclear. We aim to deepen our knowledge of the neural mechanisms underlying the acquisition of motor skills and to understand the respective contribution of BG and premotor networks during this process. Our general hypothesis is that DA-dependent learning in the GB drive plastic vocal production during early phases of vocal learning, while extended practice allows cortical premotor networks to be “trained” by the BG output, and to become capable of driving vocal production independently of the BG. To test this hypothesis, we will set up a comprehensive theoretical model of the song system relying heavily on available physiological, anatomical and behavioral data. In this model, we will investigate possible mechanisms allowing the optimization of the vocal output through learning in the BG circuit followed by a transfer of the motor control to the premotor networks. Experimentally testable predictions of the model will be formulated in terms of activity changes in the BG and premotor networks. We will use innovative experimental techniques to test these predictions and collect further data about neural activity in the song system. In particular, we will record song-related neural activity and investigate changes in functional connectivity in the circuit in vivo in a paradigm of adult song learning. Champ scientifique natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Thème(s) FP7-PEOPLE-2009-RG - Marie Curie Action: "Reintegration Grants" Appel à propositions FP7-PEOPLE-2009-RG Voir d’autres projets de cet appel Régime de financement MC-IRG - International Re-integration Grants (IRG) Coordinateur CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Contribution de l’UE € 100 000,00 Adresse RUE MICHEL ANGE 3 75794 Paris France Voir sur la carte Région Ile-de-France Ile-de-France Paris Type d’activité Research Organisations Contact administratif Franck Charron (Mr.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée