Jochen Martin Eppler
Affiliations: | Computational and Systems Neuroscience | Research Center Juelich, Jülich, Nordrhein-Westfalen, Germany |
Area:
Parallel and Distributed Computing, Neural SimulationsGoogle:
"Jochen Eppler"Mean distance: 16.6 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Markus Diesmann | grad student | 2006-2009 | University of Freiburg |
| Marc-Oliver Gewaltig | grad student | 2006-2009 | Honda Research Institute Europe GmbH |
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Publications
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| Blundell I, Brette R, Cleland TA, et al. (2018) Code Generation in Computational Neuroscience: A Review of Tools and Techniques. Frontiers in Neuroinformatics. 12: 68 |
| Blundell I, Plotnikov D, Eppler JM, et al. (2018) Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models. Frontiers in Neuroinformatics. 12: 50 |
| Ippen T, Eppler JM, Plesser HE, et al. (2017) Constructing Neuronal Network Models in Massively Parallel Environments. Frontiers in Neuroinformatics. 11: 30 |
| Kunkel S, Schmidt M, Eppler JM, et al. (2014) Spiking network simulation code for petascale computers. Frontiers in Neuroinformatics. 8: 78 |
| Djurfeldt M, Davison AP, Eppler JM. (2014) Efficient generation of connectivity in neuronal networks from simulator-independent descriptions. Frontiers in Neuroinformatics. 8: 43 |
| Nowke C, Schmidt M, Van Albada SJ, et al. (2013) VisNEST - Interactive analysis of neural activity data Biovis 2013 - Ieee Symposium On Biological Data Visualization 2013, Proceedings. 65-72 |
| Helias M, Kunkel S, Masumoto G, et al. (2012) Supercomputers ready for use as discovery machines for neuroscience. Frontiers in Neuroinformatics. 6: 26 |
| Crook SM, Bednar JA, Berger S, et al. (2012) Creating, documenting and sharing network models. Network (Bristol, England). 23: 131-49 |
| Kunkel S, Potjans TC, Eppler JM, et al. (2011) Meeting the memory challenges of brain-scale network simulation. Frontiers in Neuroinformatics. 5: 35 |
| Djurfeldt M, Hjorth J, Eppler JM, et al. (2010) Run-time interoperability between neuronal network simulators based on the MUSIC framework. Neuroinformatics. 8: 43-60 |