Eilif B. Muller, Dr. rer. nat.
Affiliations: | 2020- | Department of neurosciences | Université de Montréal, Montréal, Canada |
| 2020- | Quebec Institute for Artificial Intelligence (Mila) | ||
| 2020- | Institute for Data Valorization (IVADO) | ||
| 2020- | CHU Ste-Justine Research Center |
Area:
Neocortical perceptual learning, synaptic plasticity, computational neuroscienceWebsite:
http://neuro.plasticit.aiGoogle:
"Eilif Muller"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Alain Destexhe | grad student | 2003-2007 | UNIC, CNRS |
| Karlheinz Meier | grad student | 2003-2007 | Heidelberg University |
| Johannes Schemmel | grad student | 2003-2007 | Heidelberg University |
| Wulfram Gerstner | post-doc | 2007-2010 | EPFL, Brain Mind Institute |
| Henry Markram | research scientist | 2010-2019 | EPFL / Blue Brain Project |
Children
Sign in to add traineeCollaborators
Sign in to add collaborator| Marwan Abdellah | collaborator | EPFL | |
| Andrew Davison | collaborator | 2005- | UNIC, CNRS |
| Javier DeFelipe | collaborator | 2011- | Universidad Politécnica de Madrid, Spain |
| Idan Segev | collaborator | 2011- | Hebrew University |
| Anton S. Arkhipov | collaborator | 2016- | Allen Institute (Physics Tree) |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Chindemi G, Abdellah M, Amsalem O, et al. (2022) A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications. 13: 3038 |
| Mei J, Muller E, Ramaswamy S. (2022) Informing deep neural networks by multiscale principles of neuromodulatory systems. Trends in Neurosciences. 45: 237-250 |
| Newton TH, Reimann MW, Abdellah M, et al. (2021) In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations. Nature Communications. 12: 3630 |
| Sáray S, Rössert CA, Appukuttan S, et al. (2021) HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data. Plos Computational Biology. 17: e1008114 |
| Ecker A, Romani A, Sáray S, et al. (2020) Data-driven integration of hippocampal CA1 synaptic physiology in silico. Hippocampus |
| Dai K, Hernando J, Billeh YN, et al. (2020) The SONATA data format for efficient description of large-scale network models. Plos Computational Biology. 16: e1007696 |
| Barros-Zulaica N, Rahmon J, Chindemi G, et al. (2019) Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex. Frontiers in Synaptic Neuroscience. 11: 29 |
| Reimann MW, Gevaert M, Shi Y, et al. (2019) A null model of the mouse whole-neocortex micro-connectome. Nature Communications. 10: 3903 |
| Nolte M, Reimann MW, King JG, et al. (2019) Cortical reliability amid noise and chaos. Nature Communications. 10: 3792 |
| Migliore R, Lupascu CA, Bologna LL, et al. (2018) The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow. Plos Computational Biology. 14: e1006423 |