Jérémie Lefebvre

Jeremie Lefebvre is an Associate Faculty of the Department of Biology of the University of Ottawa and an Affiliate Scientist at the Krembil Research Institute. He is also an Assistant Professor in Department of Mathematics and Institute for Biomaterials and Biomedical Engineering of the University of Toronto. During his doctoral and postdoctoral training, Prof Lefebvre worked in Ottawa, Nancy, Geneva and Lausanne, doing research on neuroscience, non-linear dynamics, bifurcation theory, probabilistic neural coding and cognitive neuroimaging. His team uses interdisciplinary methods to characterize fluctuations in brain activity to better understand their involvement in brain health and diseases, such as epilepsy, depression and multiple-sclerosis. He collaborates closely with international teams of experimentalists and clinicians in the fields of cognitive neuroscience, neuroimaging and brain stimulation. Prof. Lefebvre has supervised trainees from a wide spectrum of backgrounds (from mathematics to physiology) over the years, as well as across various levels (from undergrads to postdocs) and in diversified research environments (universities, hospitals, institutes).
  • Associate Professor | Department of Biology, University of Ottawa (primary)
  • Affiliate Scientist | Krembil Research Institute, University Health Network, Toronto
  • Assistant Professor | Department of Mathematics, University of Toronto
  • Assistant Professor (cross appointed) | Institute for Biomaterials and Biomedical Engineering (IBBME), University of Toronto
  • Jeremie Lefebvre’s scientific interests span non-linear dynamics, mathematical and computational biology as well as biomedical engineering. Specifically, he is interested in brain stimulation, neural coding, white matter, oscillatory neural activity, synchronization and self-organization in complex neural and biological systems.
  • Bells S, Lefebvre J, Yeh EA, Mabbott D (2019) White Matter Plasticity and Maturation in Human Cognition. Glia. doi: 10.1002/glia.23661
  • Park D*, Griffiths JD*, Longtin A, Lefebvre J. (2018) Persistent entrainment in non-linear neural networks with memory. Frontiers in Applied Mathematics and Statistics 4:31
  • Hutt A, Wright D, Lefebvre J, Sleigh J. (2018) Suppression of underlying neuronal fluctuations mediates EEG slowing during general anaesthesia. NeuroImage 179:414-428
  • Lefebvre J, Hutt A, Frohlich F (2017) Stochastic Resonance Mediates the State-Dependent Effect of Periodic Stimulation on Cortical Alpha Oscillations. eLife e32054
  • Mierau A, Klimesch W, Lefebvre J. (2017) State-Dependent Alpha Peak Frequency Shifts: Experimental Evidence, Potential Mechanisms and Functional Implications. Neuroscience 360: 146-154
  • Herrmann C, Ionta S, Hutt A, Murray MM, Lefebvre J. (2016) Shaping Intrinsic Oscillatory Neural Activity with Periodic Stimulation. Journal of Neuroscience 36(19):5328-37
  • Alagapan S, Schmidt SL, Lefebvre J, Shin HW and Frohlich F. (2016) Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation Is State-Dependent. PLOS Biology 14(3): e1002424
  • Lefebvre J, Hutt A, Whittingstall K, Murray MM. (2015) Stimulus statistics shape oscillations in non-linear recurrent neural networks. Journal of Neuroscience 35(7):2895-2903
  • Lefebvre J, Longtin A, LeBlanc VG. (2009) Dynamics of driven recurrent networks of ON and OFF cells. Physical Review E. 8: 041912 Selected for the Virtual Journal of Biological Physics Research

Computational neuroscience, non-linear dynamics, brain rhythms, synchronization, neural control, white matter plasticity, neuroprosthetics

Jeremie Lefebvre