Eilif B. Muller
Eilif B. Muller
University of Montreal, CHU Ste-Justine Research Center, Quebec Artificial Intelligence Institute
Verified email at - Homepage
Cited by
Cited by
Reconstruction and simulation of neocortical microcircuitry
H Markram, E Muller, S Ramaswamy, MW Reimann, M Abdellah, ...
Cell 163 (2), 456-492, 2015
Simulation of networks of spiking neurons: a review of tools and strategies
R Brette, M Rudolph, T Carnevale, M Hines, D Beeman, JM Bower, ...
Journal of computational neuroscience 23, 349-398, 2007
PyNN: a common interface for neuronal network simulators
AP Davison, D Brüderle, JM Eppler, J Kremkow, E Muller, D Pecevski, ...
Frontiers in neuroinformatics 2, 388, 2009
NEURON and Python
M Hines, AP Davison, E Muller
Frontiers in neuroinformatics 3, 391, 2009
PyNEST: a convenient interface to the NEST simulator
JM Eppler, M Helias, E Muller, M Diesmann, MO Gewaltig
Frontiers in neuroinformatics 2, 363, 2009
Implementing synaptic plasticity in a VLSI spiking neural network model
J Schemmel, A Grubl, K Meier, E Mueller
The 2006 ieee international joint conference on neural network proceedings, 1-6, 2006
BluePyOpt: leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience
W Van Geit, M Gevaert, G Chindemi, C Rössert, JD Courcol, EB Muller, ...
Frontiers in neuroinformatics 10, 17, 2016
The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex
S Ramaswamy, JD Courcol, M Abdellah, SR Adaszewski, N Antille, ...
Frontiers in neural circuits 9, 44, 2015
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
D Brüderle, MA Petrovici, B Vogginger, M Ehrlich, T Pfeil, S Millner, ...
Biological cybernetics 104, 263-296, 2011
Rich cell-type-specific network topology in neocortical microcircuitry
E Gal, M London, A Globerson, S Ramaswamy, MW Reimann, E Muller, ...
Nature neuroscience 20 (7), 1004-1013, 2017
An algorithm to predict the connectome of neural microcircuits
MW Reimann, JG King, EB Muller, S Ramaswamy, H Markram
Frontiers in computational neuroscience 9, 120, 2015
Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system
D Brüderle, E Müller, AP Davison, E Muller, J Schemmel, K Meier
Frontiers in neuroinformatics 3, 362, 2009
The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow
R Migliore, CA Lupascu, LL Bologna, A Romani, JD Courcol, S Antonel, ...
PLoS computational biology 14 (9), e1006423, 2018
Interoperability of neuroscience modeling software: current status and future directions
RC Cannon, MO Gewaltig, P Gleeson, US Bhalla, H Cornelis, ML Hines, ...
Neuroinformatics 5, 127-138, 2007
Python in neuroscience
E Muller, JA Bednar, M Diesmann, MO Gewaltig, M Hines, AP Davison
Frontiers in neuroinformatics 9, 11, 2015
Trends in programming languages for neuroscience simulations
AP Davison, M Hines, E Muller
Frontiers in neuroscience 3, 901, 2009
Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories
E Muller, L Buesing, J Schemmel, K Meier
Neural computation 19 (11), 2958-3010, 2007
A new VLSI model of neural microcircuits including spike time dependent plasticity
J Schemmel, K Meier, E Mueller
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
Timed synaptic inhibition shapes NMDA spikes, influencing local dendritic processing and global I/O properties of cortical neurons
M Doron, G Chindemi, E Muller, H Markram, I Segev
Cell reports 21 (6), 1550-1561, 2017
Cellular adaptation facilitates sparse and reliable coding in sensory pathways
F Farkhooi, A Froese, E Muller, R Menzel, MP Nawrot
PLoS computational biology 9 (10), e1003251, 2013
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