| 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 | 1068 | 2007 |
| Phenomenological models of synaptic plasticity based on spike timing A Morrison, M Diesmann, W Gerstner Biological cybernetics 98, 459-478, 2008 | 703 | 2008 |
| Spike-timing-dependent plasticity in balanced random networks A Morrison, A Aertsen, M Diesmann Neural computation 19 (6), 1437-1467, 2007 | 430 | 2007 |
| Advancing the boundaries of high-connectivity network simulation with distributed computing A Morrison, C Mehring, T Geisel, AD Aertsen, M Diesmann Neural computation 17 (8), 1776-1801, 2005 | 266 | 2005 |
| Spiking network simulation code for petascale computers S Kunkel, M Schmidt, JM Eppler, HE Plesser, G Masumoto, J Igarashi, ... Frontiers in neuroinformatics 8, 78, 2014 | 150 | 2014 |
| Exact subthreshold integration with continuous spike times in discrete-time neural network simulations A Morrison, S Straube, HE Plesser, M Diesmann Neural computation 19 (1), 47-79, 2007 | 150 | 2007 |
| Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers HE Plesser, JM Eppler, A Morrison, M Diesmann, MO Gewaltig Euro-Par 2007 Parallel Processing: 13th International Euro-Par Conference …, 2007 | 142 | 2007 |
| A spiking neural network model of an actor-critic learning agent W Potjans, A Morrison, M Diesmann Neural computation 21 (2), 301-339, 2009 | 112 | 2009 |
| Supercomputers ready for use as discovery machines for neuroscience M Helias, S Kunkel, G Masumoto, J Igarashi, JM Eppler, S Ishii, T Fukai, ... Frontiers in neuroinformatics 6, 26, 2012 | 89 | 2012 |
| A general and efficient method for incorporating precise spike times in globally time-driven simulations A Hanuschkin, S Kunkel, M Helias, A Morrison, M Diesmann Frontiers in neuroinformatics 4, 113, 2010 | 73 | 2010 |
| Meeting the memory challenges of brain-scale network simulation S Kunkel, TC Potjans, JM Eppler, HE Plesser, A Morrison, M Diesmann Frontiers in neuroinformatics 5, 35, 2012 | 68 | 2012 |
| Automatic generation of connectivity for large-scale neuronal network models through structural plasticity S Diaz-Pier, M Naveau, M Butz-Ostendorf, A Morrison Frontiers in neuroanatomy 10, 57, 2016 | 66 | 2016 |
| Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity YV Zaytsev, A Morrison, M Deger Journal of computational neuroscience 39, 77-103, 2015 | 58 | 2015 |
| Limits to the development of feed-forward structures in large recurrent neuronal networks S Kunkel, M Diesmann, A Morrison Frontiers in computational neuroscience 4, 160, 2011 | 56 | 2011 |
| Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity W Potjans, A Morrison, M Diesmann Frontiers in computational neuroscience 4, 141, 2010 | 55 | 2010 |
| An imperfect dopaminergic error signal can drive temporal-difference learning W Potjans, M Diesmann, A Morrison PLoS computational biology 7 (5), e1001133, 2011 | 52 | 2011 |
| Code generation in computational neuroscience: a review of tools and techniques I Blundell, R Brette, TA Cleland, TG Close, D Coca, AP Davison, ... Frontiers in neuroinformatics 12, 68, 2018 | 51 | 2018 |
| NEST: the Neural Simulation Tool. HE Plesser, M Diesmann, MO Gewaltig, A Morrison Encyclopedia of computational neuroscience 1, 1-3, 2014 | 49 | 2014 |
| Synaptic patterning and the timescales of cortical dynamics R Duarte, A Seeholzer, K Zilles, A Morrison Current Opinion in Neurobiology 43, 156-165, 2017 | 45 | 2017 |
| Nest 2.12. 0 S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ... Jülich Supercomputing Center, 2017 | 40 | 2017 |
Markus DiesmannDirector, INM-6 and IAS-6, Jülich Research CentreVerified email at fz-juelich.de