Eilif B. Muller 个人学术档案

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Andrew DavisonResearch Scientist in Neuroinformatics and Computational Neuroscience, NeuroPSI, CNRS在 cnrs.fr 的电子邮件经过验证
Henry MarkramProfessor of Neuroscience, EPFL在 epfl.ch 的电子邮件经过验证
Srikanth RamaswamyAssistant Professor, Newcastle University / Fulbright Scholar, MIT在 newcastle.ac.uk 的电子邮件经过验证
Idan SegevProf. of Computational Neuroscience, Hebrew University of Jerusalem在 mail.huji.ac.il 的电子邮件经过验证
Marc-Oliver Gewaltigthesify SA在 thesify.ai 的电子邮件经过验证
Karlheinz MeierRuprecht-Karls-Universität Heidelberg在 kip.uni-heidelberg.de 的电子邮件经过验证
Johannes SchemmelHeidelberg University在 kip.uni-heidelberg.de 的电子邮件经过验证
Jens KremkowNeuroscience Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany在 charite.de 的电子邮件经过验证
Dejan PecevskiAI/ML Department, Jumio Corp., Vienna, Austria在 jumio.com 的电子邮件经过验证
Mikael DjurfeldtNeuroinformatics researcher, KTH, Stockholm and INCF, Stockholm在 djurfeldt.com 的电子邮件经过验证
Giuseppe ChindemiPostDoc, University of Geneva在 unige.ch 的电子邮件经过验证
Werner Van GeitProject Leader High Performance Neuroscience, IT'IS Foundation在 itis.swiss 的电子邮件经过验证
Laurent PerrinetINT (UMR 7289) / CNRS - Aix-Marseille Université在 univ-amu.fr 的电子邮件经过验证
Pierre YgerCR at Institut de la Vision, Paris在 inserm.fr 的电子邮件经过验证
Markus DiesmannDirector, INM-6 and IAS-6, Jülich Research Centre在 fz-juelich.de 的电子邮件经过验证
Felix SchuermannEPFL - Blue Brain Project在 epfl.ch 的电子邮件经过验证
Padraig GleesonDepartment of Neuroscience, Physiology and Pharmacology, University College London在 ucl.ac.uk 的电子邮件经过验证
Martin Paul NawrotProfessor for Computational Systems Neuroscience, University of Cologne在 uni-koeln.de 的电子邮件经过验证
Bard ErmentroutProfessor of Mathematics, Univ of Pittsburgh在 pitt.edu 的电子邮件经过验证
Ted CarnevaleSenior Research Scientist, Yale School of Medicine在 yale.edu 的电子邮件经过验证

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Eilif B. Muller

University of Montreal, CHU Ste-Justine Research Center, Quebec Artificial Intelligence Institute

在 umontreal.ca 的电子邮件经过验证 - 首页

neocortex perceptual learning plasticity deep learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Reconstruction and simulation of neocortical microcircuitry H Markram, E Muller, S Ramaswamy, MW Reimann, M Abdellah, ... Cell 163 (2), 456-492, 2015	1437	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	1034	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	808	2009
NEURON and Python M Hines, AP Davison, E Muller Frontiers in neuroinformatics 3, 391, 2009	359	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	288	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	284	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	156	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	155	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	145	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	131	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	125	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	103	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	94	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	85	2007
Python in neuroscience E Muller, JA Bednar, M Diesmann, MO Gewaltig, M Hines, AP Davison Frontiers in neuroinformatics 9, 11, 2015	84	2015
Trends in programming languages for neuroscience simulations AP Davison, M Hines, E Muller Frontiers in neuroscience 3, 901, 2009	79	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	76	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	65	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	64	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	57	2013

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