Dr Lefebvre’s research lies at the interface of computational and mathematical neuroscience, addressing questions that relate to nonlinear dynamics and biomathematics. His lab develops and analyzes models of neural circuits to better understand the brain, and the dynamics of neurodegenerative diseases. A significant part of his work has been devoted to the characterization of synchronous dynamics in recurrent neural networks, and to the investigation of driven nonlinear systems. He also works in close collaborations with clinicians and experimentalists.

Related Links

Acc Chem Res. 2017 Sep 13;:
Lefebvre J, Ding J, Li Z, Finnie P, Lopinski G, Malenfant PRL
J Neurosci. 2016 May 11;36(19):5328-37
Herrmann CS, Murray MM, Ionta S, Hutt A, Lefebvre J
Neuroimage. 2016 Apr 01;129:335-44
Anken J, Knebel JF, Crottaz-Herbette S, Matusz PJ, Lefebvre J, Murray MM
Front Immunol. 2015;6:589
Burkett KM, Roy-Gagnon MH, Lefebvre JF, Wang C, Fontaine-Bisson B, Dubois L
Nanoscale. 2015 Oct 14;7(38):15741-7
Ding J, Li Z, Lefebvre J, Cheng F, Dunford JL, Malenfant PR, Humes J, Kroeger J
BMC Bioinformatics. 2015;16:160
Gauvin H, Lefebvre JF, Moreau C, Lavoie EM, Labuda D, Vézina H, Roy-Gagnon MH
J Neurosci. 2015 Feb 18;35(7):2895-903
Lefebvre J, Hutt A, Knebel JF, Whittingstall K, Murray MM


Assistant Professor, Department of Mathematics, University of Toronto