| 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 (3), 349-398, 2007 | 840 | 2007 |
| Phenomenological models of synaptic plasticity based on spike timing A Morrison, M Diesmann, W Gerstner Biological cybernetics 98 (6), 459-478, 2008 | 486 | 2008 |
| Spike-timing-dependent plasticity in balanced random networks A Morrison, A Aertsen, M Diesmann Neural computation 19 (6), 1437-1467, 2007 | 316 | 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 | 228 | 2005 |
| 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 | 123 | 2007 |
| Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers HE Plesser, JM Eppler, A Morrison, M Diesmann, MO Gewaltig European Conference on Parallel Processing, 672-681, 2007 | 121 | 2007 |
| 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 | 99 | 2014 |
| A spiking neural network model of an actor-critic learning agent W Potjans, A Morrison, M Diesmann Neural computation 21 (2), 301-339, 2009 | 98 | 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 | 65 | 2012 |
| 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 | 52 | 2011 |
| 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 | 51 | 2010 |
| Meeting the memory challenges of brain-scale network simulation S Kunkel, TC Potjans, JM Eppler, HEE Plesser, A Morrison, M Diesmann Frontiers in neuroinformatics 5, 35, 2012 | 50 | 2012 |
| An imperfect dopaminergic error signal can drive temporal-difference learning W Potjans, M Diesmann, A Morrison PLoS Comput Biol 7 (5), e1001133, 2011 | 46 | 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 | 38 | 2010 |
| Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity YV Zaytsev, A Morrison, M Deger Journal of computational neuroscience 39 (1), 77-103, 2015 | 37 | 2015 |
| 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 | 34 | 2016 |
| A reafferent and feed-forward model of song syntax generation in the Bengalese finch A Hanuschkin, M Diesmann, A Morrison Journal of computational neuroscience 31 (3), 509-532, 2011 | 33 | 2011 |
| NineML: the network interchange for ne uroscience modeling language I Raikov, R Cannon, R Clewley, H Cornelis, A Davison, E De Schutter, ... BMC neuroscience 12 (1), 1-2, 2011 | 32 | 2011 |
| Efficient identification of assembly neurons within massively parallel spike trains D Berger, C Borgelt, S Louis, A Morrison, S Grün Computational intelligence and neuroscience 2010, 2010 | 32 | 2010 |
| Nest 2.12. 0 S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ... Jülich Supercomputing Center, 2017 | 31 | 2017 |
