Objectif Understanding how the brain processes and represents information is at the core of experimental studies of the Central Nervous System (CNS). A network of brain subsystems mediates information processing through distributed neural computation and dynamic patterns of neural activity. Over the last decades, studying how these patterns are elicited in the CNS under specific behavioural tasks has become a break through research topic in integrative neuroscience. These specific tasks are related to the concept of embodied cognition, according to which the primary goal of the CNS is to solve and facilitate the body-environment interaction. This project focuses on the cerebellum, a brain region that plays a crucial role in body-environment interaction, with a primary function related to adaptive motor control and coordination. The functional characteristics of the cerebellum make it a perfect candidate to start modelling and building an embodied nervous system. The cerebellar capability of performing adaptive information processing mediating sensorimotor control will be evaluated in specific tasks. Additionally, the emergence of cognitive-like representations will be studied by focusing on how models of the environment/tools can be acquired through a closed-loop sensorimotor interaction. This project sets forth a multidisciplinary methodology combining neuromimetic models and embodied neurorobotics. Simulated neural models and robotic experiments will guarantee full access to the system properties, which will be assessed through both qualitative and quantitative performance indicators to facilitate a constructive cross-validation against neurophysiological data. This approach will also allow us to predict new functional roles of specific cell/network/topology properties. The goal of this project lies on moving forward the knowledge frontiers in integrative neuroscience and biological control, thus boosting the candidate position at the cutting-edge of these fields. Champ scientifique natural sciencesmathematicspure mathematicstopologyengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsnatural sciencesbiological sciencesneurobiologycomputational neurosciencenatural sciencescomputer and information sciencesdata sciencedata processingnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Thème(s) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Appel à propositions H2020-MSCA-IF-2014 Voir d’autres projets de cet appel Régime de financement MSCA-IF-EF-ST - Standard EF Coordinateur SORBONNE UNIVERSITE Contribution nette de l'UE € 173 076,00 Adresse 21 RUE DE L'ECOLE DE MEDECINE 75006 Paris France Voir sur la carte Région Ile-de-France Ile-de-France Paris Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 173 076,00