| 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 | 996 | 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 | 758 | 2009 |
| NEURON and Python M Hines, AP Davison, E Muller Frontiers in neuroinformatics 3, 391, 2009 | 354 | 2009 |
| NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail P Gleeson, S Crook, RC Cannon, ML Hines, GO Billings, M Farinella, ... PLoS computational biology 6 (6), e1000815, 2010 | 353 | 2010 |
| Automated capture of experiment context for easier reproducibility in computational research A Davison Computing in Science & Engineering 14 (4), 48-56, 2012 | 144 | 2012 |
| 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 | 140 | 2011 |
| Neo: an object model for handling electrophysiology data in multiple formats S Garcia, D Guarino, F Jaillet, T Jennings, R Pröpper, PL Rautenberg, ... Frontiers in neuroinformatics 8, 10, 2014 | 137 | 2014 |
| ModelDB: making models publicly accessible to support computational neuroscience M Migliore, TM Morse, AP Davison, L Marenco, GM Shepherd, ML Hines Neuroinformatics 1, 135-139, 2003 | 135 | 2003 |
| Toward standard practices for sharing computer code and programs in neuroscience SJ Eglen, B Marwick, YO Halchenko, M Hanke, S Sufi, P Gleeson, ... Nature neuroscience 20 (6), 770-773, 2017 | 106 | 2017 |
| Sustainable computational science: the ReScience initiative NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ... PeerJ Computer Science 3, e142, 2017 | 100 | 2017 |
| 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 | 94 | 2009 |
| Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model AP Davison, J Feng, D Brown Journal of neurophysiology 90 (3), 1921-1935, 2003 | 93 | 2003 |
| Python in neuroscience E Muller, JA Bednar, M Diesmann, MO Gewaltig, M Hines, AP Davison Frontiers in neuroinformatics 9, 11, 2015 | 77 | 2015 |
| Open source brain: a collaborative resource for visualizing, analyzing, simulating, and developing standardized models of neurons and circuits P Gleeson, M Cantarelli, B Marin, A Quintana, M Earnshaw, S Sadeh, ... Neuron 103 (3), 395-411. e5, 2019 | 73 | 2019 |
| Biophysical and phenomenological models of multiple spike interactions in spike-timing dependent plasticity M Badoual, Q Zou, AP Davison, M Rudolph, T Bal, Y Frégnac, A Destexhe International journal of neural systems 16 (02), 79-97, 2006 | 65 | 2006 |
| Trends in programming languages for neuroscience simulations AP Davison, M Hines, E Muller Frontiers in neuroscience 3, 901, 2009 | 64 | 2009 |
| A commitment to open source in neuroscience P Gleeson, AP Davison, RA Silver, GA Ascoli Neuron 96 (5), 964-965, 2017 | 63 | 2017 |
| A reduced compartmental model of the mitral cell for use in network models of the olfactory bulb AP Davison, J Feng, D Brown Brain research bulletin 51 (5), 393-399, 2000 | 50 | 2000 |
| Learning from the past: approaches for reproducibility in computational neuroscience SM Crook, AP Davison, HE Plesser 20 Years of Computational Neuroscience, 73-102, 2013 | 49 | 2013 |
| Sumatra: a toolkit for reproducible research AP Davison, M Mattioni, D Samarkanov, B Telenczuk Implementing reproducible research 57, 2014 | 47 | 2014 |
Eilif B. MullerUniversity of Montreal, CHU Ste-Justine Research Center, Quebec Artificial Intelligence InstituteVerified email at umontreal.ca
