Reproducibility vs. Replicability: A Brief History of a Confused Terminology

le Plesser, Hans E.
Foilsithe in Front Neuroinform (2018)

Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables

le Nordlie, Eilen, Plesser, Hans Ekkehard
Foilsithe 2010

Extended difference-of-Gaussians model incorporating cortical feedback for relay cells in the lateral geniculate nucleus of cat

le Einevoll, Gaute T., Plesser, Hans E.
Foilsithe 2011

Flexible and efficient recording of neuronal properties in large network simulations: The NEST Multimeter

le Eppler Jochen M, Plesser Hans E
Foilsithe 2011-07-01

Flexible and efficient recording of neuronal properties in large network simulations: The NEST Multimeter

le Plesser, Hans E, Eppler, Jochen M
Foilsithe 2011

Towards Reproducible Descriptions of Neuronal Network Models

le Nordlie, Eilen, Gewaltig, Marc-Oliver, Plesser, Hans Ekkehard
Foilsithe 2009

Constructing Neuronal Network Models in Massively Parallel Environments

le Ippen, Tammo, Eppler, Jochen M., Plesser, Hans E., Diesmann, Markus
Foilsithe in Front Neuroinform (2017)

Rate dynamics of the retina-LGN connection

le Plesser Hans E, Kriener Birgit, Tetzlaff Tom, Heiberg Thomas, Einevoll Gaute T
Foilsithe 2011-07-01

Rate dynamics of the retina-LGN connection

le Heiberg, Thomas, Tetzlaff, Tom, Kriener, Birgit, Plesser, Hans E, Einevoll, Gaute T
Foilsithe 2011

Firing-rate models for neurons with a broad repertoire of spiking behaviors

le Heiberg, Thomas, Kriener, Birgit, Tetzlaff, Tom, Einevoll, Gaute T, Plesser, Hans E
Foilsithe 2013

Firing-rate models for neurons with a broad repertoire of spiking behaviors

le Heiberg, Thomas, Kriener, Birgit, Tetzlaff, Tom, Einevoll, Gaute T., Plesser, Hans E.
Foilsithe in J Comput Neurosci (2018)

Editorial: Reproducibility and Rigour in Computational Neuroscience

le Crook, Sharon M., Davison, Andrew P., McDougal, Robert A., Plesser, Hans Ekkehard
Foilsithe in Front Neuroinform (2020)

Dynamics and lifetime of persistent activity states in random networks of spiking neurons with strong synapses

le Kriener, Birgit, Enger, Håkon, Tetzlaff, Tom, Plesser, Hans Ekkehard, Gewaltig, Marc-Oliver, Einevoll, Gaute T
Foilsithe 2013

Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses

le Kriener, Birgit, Enger, Håkon, Tetzlaff, Tom, Plesser, Hans E., Gewaltig, Marc-Oliver, Einevoll, Gaute T.
Foilsithe 2014

Meeting the Memory Challenges of Brain-Scale Network Simulation

le Kunkel, Susanne, Potjans, Tobias C., Eppler, Jochen M., Plesser, Hans Ekkehard, Morrison, Abigail, Diesmann, Markus
Foilsithe 2012

From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations

le Kunkel, Susanne, Schmidt, Maximilian, Eppler, Jochen M, Plesser, Hans E, Igarashi, Jun, Masumoto, Gen, Fukai, Tomoki, Ishii, Shin, Morrison, Abigail, Diesmann, Markus, Helias, Moritz
Foilsithe 2013

Spiking network simulation code for petascale computers

le Kunkel, Susanne, Schmidt, Maximilian, Eppler, Jochen M., Plesser, Hans E., Masumoto, Gen, Igarashi, Jun, Ishii, Shin, Fukai, Tomoki, Morrison, Abigail, Diesmann, Markus, Helias, Moritz
Foilsithe 2014

NineML: the network interchange for n<b>e</b>uroscience modeling language

le Muller Eilif, Morrison Abigail, Lo Chung-Chan, Le Franc Yann, Kriener Birgit, Hines Mike, Hill Sean, Plesser Hans, Gorchetchnikov Anatoli, Gleeson Padraig, Djurfeldt Mikael, De Schutter Erik, Davison Andrew, Cornelis Hugo, Clewley Robert, Cannon Robert, Raikov Ivan, Ray Subhasis, Schwabe Lars, Szatmary Botond
Foilsithe 2011-07-01

NineML: the network interchange for neuroscience modeling language

le Raikov, Ivan, Cannon, Robert, Clewley, Robert, Cornelis, Hugo, Davison, Andrew, De Schutter, Erik, Djurfeldt, Mikael, Gleeson, Padraig, Gorchetchnikov, Anatoli, Plesser, Hans Ekkehard, Hill, Sean, Hines, Mike, Kriener, Birgit, Le Franc, Yann, Lo, Chung-Chan, Morrison, Abigail, Muller, Eilif, Ray, Subhasis, Schwabe, Lars, Szatmary, Botond
Foilsithe 2011

Reproducibility and Rigour in Computational Neuroscience

Foilsithe 2020