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

por Plesser, Hans E.
Publicado en Front Neuroinform (2018)

Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables

por Nordlie, Eilen, Plesser, Hans Ekkehard
Publicado 2010

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

por Einevoll, Gaute T., Plesser, Hans E.
Publicado 2011

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

por Eppler Jochen M, Plesser Hans E
Publicado 2011-07-01

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

por Plesser, Hans E, Eppler, Jochen M
Publicado 2011

Towards Reproducible Descriptions of Neuronal Network Models

por Nordlie, Eilen, Gewaltig, Marc-Oliver, Plesser, Hans Ekkehard
Publicado 2009

Constructing Neuronal Network Models in Massively Parallel Environments

por Ippen, Tammo, Eppler, Jochen M., Plesser, Hans E., Diesmann, Markus
Publicado en Front Neuroinform (2017)

Rate dynamics of the retina-LGN connection

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

Rate dynamics of the retina-LGN connection

por Heiberg, Thomas, Tetzlaff, Tom, Kriener, Birgit, Plesser, Hans E, Einevoll, Gaute T
Publicado 2011

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

por Heiberg, Thomas, Kriener, Birgit, Tetzlaff, Tom, Einevoll, Gaute T, Plesser, Hans E
Publicado 2013

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

por Heiberg, Thomas, Kriener, Birgit, Tetzlaff, Tom, Einevoll, Gaute T., Plesser, Hans E.
Publicado en J Comput Neurosci (2018)

Editorial: Reproducibility and Rigour in Computational Neuroscience

por Crook, Sharon M., Davison, Andrew P., McDougal, Robert A., Plesser, Hans Ekkehard
Publicado en Front Neuroinform (2020)

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

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

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

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

Meeting the Memory Challenges of Brain-Scale Network Simulation

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

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

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

Spiking network simulation code for petascale computers

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

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

por 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
Publicado 2011-07-01

NineML: the network interchange for neuroscience modeling language

por 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
Publicado 2011

Reproducibility and Rigour in Computational Neuroscience

Publicado 2020