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Renaud B. Jolivet
Renaud B. Jolivet
	Wulfram Gerstner in 2018
Born	1978 (age 45–46); Lausanne
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; University College London; CERN; University of Geneva; Maastricht University
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[edit]

Jolivet 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[edit]

Science policy[edit]

In 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.

[1] 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.

[2] 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.

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