Renaud B. Jolivet | |
|---|---|
 Wulfram Gerstner in 2018 | |
| Born | 1978 (age 45–46) |
| Alma mater | University of Lausanne (MSc) EPFL (PhD) |
| Awards | Marie Curie Alumni Association Career Award 2022 André Mischke Young Academy of Europe Prize for Science and Policy 2023 |
| Scientific career | |
| Institutions | University of Lausanne University of Zürich |
| Thesis | Effective minimal threshold models of neuronal activity (2005) |
| Doctoral advisor | Wulfram Gerstner |
Renaud Jolivet is a Swiss physicist and neuroscientist. He is Chair of Neural Engineering and Computation at the Maastricht Centre for Systems Biology (MaCSBio) at Maastricht University, and retains an affiliation with CERN. He serves as the Chair of the Science and Technology Committee of EBRAINS, and as a member of the Board of Directors of the Organization for Computational Neurosciences. In 2023, he is a Neurotech Fellow of the Foresight Institute.
Early life and education
editJolivet grew up in Yverdon-les-Bains, Switzerland, and studied at the Gymnase d'Yverdon. He then studied physics at the University of Lausanne, before joining Wulfram Gerstner at EPFL for his doctorate, working on fitting neuron models to electrophysiology data [1][2].
Research and career
editScience policy
editIn 2023, Jolivet received both the Marie Curie Alumni Association Career Award 2022, and the André Mischke Young Academy of Europe Prize for Science and Policy 2023 for his achievements in science and science policy.
References
edit- ^ Jolivet, Renaud; Lewis, Timothy J.; Gerstner, Wulfram. "Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy". Journal of Neurophysiology. 92 (2): 959–976. doi:10.1152/jn.00190.2004.
- ^ Jolivet, Renaud; Rauch, Alexander; Lüscher, Hans-Rudolf; Gerstner, Wulfram. "Predicting spike timing of neocortical pyramidal neurons by simple threshold models". Journal of Computational Neuroscience. 21 (1): 35–49. doi:10.1007/s10827-006-7074-5.