Pioneer in Computational Neuroscience and Neural Networks
Associated with :
École Polytechnique Fédérale de LausanneWulfram Gerstner is a Full Professor at École polytechnique fédérale de Lausanne (EPFL), holding a joint appointment in Computer Science and Life Sciences since 2006. After studying physics at Tübingen and Munich, followed by research at UC Berkeley, he earned his Ph.D. in theoretical physics from TU Munich in 1993, focusing on associative memory in networks of spiking neurons. Since joining EPFL in 1996, he has directed the Laboratory of Computational Neuroscience, making significant contributions to understanding neural networks, spike-timing dependent plasticity, and reward-based learning in spiking neurons. His research bridges theoretical neuroscience with practical applications, influencing fields from artificial intelligence to neurobiology. Gerstner has served on editorial boards of prestigious journals including Science and the Journal of Computational Neuroscience, and received the Valentino Braitenberg Award for Computational Neuroscience in 2018. His work continues to shape our understanding of neural computation and learning mechanisms in biological and artificial systems.