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

ανά Plesser, Hans E.
Τόπος έκδοσης Front Neuroinform (2018)

Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables

ανά Nordlie, Eilen, Plesser, Hans Ekkehard
Έκδοση 2010

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

ανά Einevoll, Gaute T., Plesser, Hans E.
Έκδοση 2011

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

ανά Eppler Jochen M, Plesser Hans E
Έκδοση 2011-07-01

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

ανά Plesser, Hans E, Eppler, Jochen M
Έκδοση 2011

Towards Reproducible Descriptions of Neuronal Network Models

ανά Nordlie, Eilen, Gewaltig, Marc-Oliver, Plesser, Hans Ekkehard
Έκδοση 2009

Constructing Neuronal Network Models in Massively Parallel Environments

ανά Ippen, Tammo, Eppler, Jochen M., Plesser, Hans E., Diesmann, Markus
Τόπος έκδοσης Front Neuroinform (2017)

Rate dynamics of the retina-LGN connection

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

Rate dynamics of the retina-LGN connection

ανά Heiberg, Thomas, Tetzlaff, Tom, Kriener, Birgit, Plesser, Hans E, Einevoll, Gaute T
Έκδοση 2011

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

ανά Heiberg, Thomas, Kriener, Birgit, Tetzlaff, Tom, Einevoll, Gaute T, Plesser, Hans E
Έκδοση 2013

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

ανά Heiberg, Thomas, Kriener, Birgit, Tetzlaff, Tom, Einevoll, Gaute T., Plesser, Hans E.
Τόπος έκδοσης J Comput Neurosci (2018)

Editorial: Reproducibility and Rigour in Computational Neuroscience

ανά Crook, Sharon M., Davison, Andrew P., McDougal, Robert A., Plesser, Hans Ekkehard
Τόπος έκδοσης Front Neuroinform (2020)

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

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

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

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

Meeting the Memory Challenges of Brain-Scale Network Simulation

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

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

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

Spiking network simulation code for petascale computers

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

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

ανά 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
Έκδοση 2011-07-01

NineML: the network interchange for neuroscience modeling language

ανά 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
Έκδοση 2011

Reproducibility and Rigour in Computational Neuroscience

Έκδοση 2020