• News
  • Publications
  • William Havard, a NeuroCog PhD student under the co-supervision of the LIDILEM - LIG/GETALP laboratories, has just published a third paper in the framework of his thesis for the CoNLL conference, the SIGNLL Conference on Computational Natural Language Learning, which will take place on November 19 and 20, 2020.
  • Job : Graduate assistant in experimental psychology
    from July 21, 2020 to July 31, 2020
    The Faculty of political and social Sciences and The Institute of Psychology offer a Graduate Assistant position in experimental psychology. Our research team (BEAM lab) is developing, in collaboration with the neuro imaging research laboratory (LREN) of the University of Lausanne, a research project that aims to understand the principles of learning-dependent functional and structural brain plasticity in humans.
  • In advanced stages of muscular dystrophies, including Duchenne Muscular Dystrophy (DMD), a large subset of muscle fibers shows longitudinal splitting or branching. However, despite critical impact on muscle cytoarchitecture, on vulnerability to contraction-induced damage and on muscle weakening, mechanisms of muscle fibers splitting remain largely unexplored. The goal of this project is to identify molecular determinants and characterize cellular pathways controlling muscle fiber splitting.
  • L'objectif du projet AUTOMA-PIED est d’étudier les interactions entre un piéton et des véhicules automatisés, en comparaison avec des véhicules conventionnels, en situation de traversée de rue. Un objectif complémentaire sera de comparer des piétons jeunes(20-35 ans) et plus âgés (>75 ans). Les comparaisons inter-âges permettront en effet de répondre à un enjeu fort de sécurité routière lié à la plus grande occurrence d’accidents piétons avec l’âge. In fine, le projet permettra de nourrir la réflexion et la mise en œuvre de mesures qui composeront demain la politique de sécurité routière, le design et la conception des véhicules autonomes.

From Neurons to Social Cognition in Grenoble

The NeuroCoG project aims to understand the biological, neurophysiological and functional bases of behavioral and cognitive processes in normal and pathological conditions, from cells to networks and from individual to social cognition. NeuroCoG is based on a wide-spectrum interdisciplinary approach (e.g. fundamental and cognitive neuroscience, chemistry, physics, cognitive and social psychology, education, language sciences, computer sciences, applied mathematics, and engineering; as well as clinical specialties such as neurology and psychiatry).