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

ACS Appl Mater Interfaces. 2019 Oct 02;11(39):36027-36034
Lapointe F, Sapkota A, Ding J, Lefebvre J
Front Genet. 2019;10:151
Tessier F, Fontaine-Bisson B, Lefebvre JF, El-Sohemy A, Roy-Gagnon MH
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


Assistant Professor, Department of Mathematics, University of Toronto