Eilif B. Muller
Canada CIFAR AI Chair
Pan-Canadian AI Strategy
Eilif Muller is a Canada CIFAR AI Chair at Mila and IVADO, an assistant research professor in the department of neurosciences at the Université de Montréal, and a principle investigator of the Architectures of Biological Learning Lab (ABL-Lab) at the CHU Sainte-Justine Research Center.
Muller’s research tackles a fundamental mystery at the intersection of neuroscience and artificial intelligence: how sensory perception is learned in the neocortex. Integrating the latest empirical advances in our understanding of the synaptic, dendritic, and circuit physiology of the neocortex, the ABL-Lab leverages a synergy of biophysical simulations of neocortical circuits and functional deep convolutional networks to explore a radically new dendritic perspective on the processes of neocortical learning.
He seeks to understand how the neocortex can learn continually from only a few labeled examples and robustly generalize to others, and provide new inspiration to solve these open challenges in the field of deep learning.
Chindemi, G., Abdellah, M., Amsalem, O., Benavides-Piccione, R., Delattre, V., Doron, M., … & Müller, E. B. (2020). A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex.
Nolte, M., Reimann, M. W., King, J. G., Markram, H., & Muller, E. B. (2019). Cortical reliability amid noise and chaos. Nature communications, 10(1), 1-15.
Reimann, M. W., Gevaert, M., Shi, Y., Lu, H., Markram, H., & Muller, E. (2019). A null model of the mouse whole-neocortex micro-connectome. Nature communications, 10(1), 1-16.
Markram, H., Muller, E., Ramaswamy, S., Reimann, M. W., Abdellah, M., Sanchez, C. A., … & Schürmann, F. (2015). Reconstruction and simulation of neocortical microcircuitry. Cell, 163(2), 456-492.
CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.