G.F.C. (Guillaume) Etter, Dr
Onderzoeker

E-mail:
g.etter rug.nl
Expertise
My research lies at the intersection of neuroscience and artificial intelligence and focuses on learning and memory in neural networks. In particular, I seek to uncover what are the microcircuit dynamics of excitatory and inhibitory neurons involved in updating synaptic weights between neurons to improve behaviors in freely moving animals. In turn, I apply state-of-the-art knowledge of biological neural networks to improve artificial intelligence models, notably with respect to learning incrementally (lifelong learing). To achieve these objective, I use deep learning and reinforcement learning frameworks, as well as neurophysiological approaches (in vivo calcium imaging, electrophysiology, optogenetics).Finally, I leverage both neuroscience and AI approaches to develop predictive methods and treatments for neurodegenerative disorders (including Alzheimer's disease). I hold a PhD in Neuroscience from the University of Strasbourg, supported by scholarships from the Ministry of Education and research and the Fondation pour la Recherche Médicale, where I investigated dopamine signalling the hippocampus using patch-clamp electrophysiology. I received postdoctoral training at McGill University (Canada) where I developped miniaturized head-mounted microscopes to perform in vivo calcium imaging and optogenetics in freely moving rodents. I also received postdoctoral training in artificial intelligence at the Quebec Institute of AI (MILA) where I developped AI models inspired by the bidirectional architecture of the neocortex.
Laatst gewijzigd: | 06 augustus 2025 15:10 |