Eilif B. Muller
Appointment
Canada CIFAR AI Chair
Pan-Canadian AI Strategy
About
Appointed Canada CIFAR AI Chair – 2020
Eilif Muller is a Canada CIFAR AI Chair at Mila an IVADO associate 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.
Relevant Publications
- Ecker, A., Santander, D. E., Abdellah, M., Alonso, J. B., Bolaños-Puchet, S., Chindemi, G., Isbister, J. B., King, J. G., Kumbhar, P., Magkanaris, I., Muller, E. B., & Reimann, M. W. (2024). Long-term plasticity induces sparse and specific synaptic changes in a biophysically detailed cortical model
- Reimann, M. W., Santander, D. E., Ecker, A., & Muller, E. B. (2023). Specific inhibition and disinhibition in the higher-order structure of a cortical connectome
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.
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.