Hans Ekkehard Plesser
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Reproducibility vs. replicability: a brief history of a confused terminology
HE Plesser
Frontiers in neuroinformatics 11, 76, 2018
Towards reproducible descriptions of neuronal network models
E Nordlie, MO Gewaltig, HE Plesser
PLoS computational biology 5 (8), e1000456, 2009
Noise in integrate-and-fire neurons: from stochastic input to escape rates
HE Plesser, W Gerstner
Neural Computation 12 (2), 367-384, 2000
Sustainable computational science: the ReScience initiative
NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ...
PeerJ Computer Science 3, e142, 2017
The scientific case for brain simulations
GT Einevoll, A Destexhe, M Diesmann, S Grün, V Jirsa, M de Kamps, ...
Neuron 102 (4), 735-744, 2019
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
Spiking network simulation code for petascale computers
S Kunkel, M Schmidt, JM Eppler, HE Plesser, G Masumoto, J Igarashi, ...
Name: Frontiers in Neuroinformatics 8, 78, 2014
Parallel and Distributed Programming-Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers
HE Plesser, JM Eppler, A Morrison, M Diesmann, MO Gewaltig
Lecture Notes in Computer Science, 672-681, 2007
Stochastic resonance in a model neuron with reset
HE Plesser, S Tanaka
Physics Letters A 225 (4-6), 228-234, 1997
Sustainable computational science: the ReScience initiative
NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ...
PeerJ Computer Science 3, e142, 2017
Markov analysis of stochastic resonance in a periodically driven integrate-and-fire neuron
HE Plesser, T Geisel
Physical Review E 59 (6), 7008, 1999
NEST 2.10.0
H Bos, R Deepu, T Stocco, M Schmidt, JM Eppler, F Michler, HE Plesser, ...
JARA-HPC, 2015
Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
B Kriener, H Enger, T Tetzlaff, HE Plesser, MO Gewaltig, GT Einevoll
Frontiers in computational neuroscience 8, 136, 2014
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
NEST 2.12.0
S Kunkel, A Morrison, P Weidel, JM Eppler, A Sinha, W Schenck, ..., 2017
Learning from the past: approaches for reproducibility in computational neuroscience
SM Crook, AP Davison, HE Plesser
20 Years of Computational Neuroscience, 73-102, 2013
NEST: The Neural Simulation Tool.
HE Plesser, M Diesmann, MO Gewaltig, A Morrison
Encyclopedia of Computational Neuroscience, 1849-1852, 2014
Constructing Neuronal Network Models in Massively Parallel Environments
T Ippen, JM Eppler, HE Plesser, M Diesmann
Frontiers in neuroinformatics 11, 30, 2017
NineML: the network interchange for neuroscience modeling language
I Raikov, R Cannon, R Clewley, H Cornelis, A Davison, E De Schutter, ...
BMC Neuroscience 12 (Suppl 1), P330, 2011
Stochastic resonance in neuron models: Endogenous stimulation revisited
HE Plesser, T Geisel
Physical Review E 63 (3), 031916, 2001
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