Jochen Martin Eppler, Moritz Helias, Eilif Muller, Markus Diesmann, Marc-Oliver Gewaltig. Front Neuroinform 2009
Times Cited: 98
Times Cited: 98
Times Cited
Times Co-cited
Similarity
PyNN: A Common Interface for Neuronal Network Simulators.
Andrew P Davison, Daniel Brüderle, Jochen Eppler, Jens Kremkow, Eilif Muller, Dejan Pecevski, Laurent Perrinet, Pierre Yger. Front Neuroinform 2009
Andrew P Davison, Daniel Brüderle, Jochen Eppler, Jens Kremkow, Eilif Muller, Dejan Pecevski, Laurent Perrinet, Pierre Yger. Front Neuroinform 2009
48
35
Simulation of networks of spiking neurons: a review of tools and strategies.
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M Bower, Markus Diesmann, Abigail Morrison, Philip H Goodman, Frederick C Harris,[...]. J Comput Neurosci 2007
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M Bower, Markus Diesmann, Abigail Morrison, Philip H Goodman, Frederick C Harris,[...]. J Comput Neurosci 2007
30
Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
N Brunel. J Comput Neurosci 2000
N Brunel. J Comput Neurosci 2000
27
Advancing the boundaries of high-connectivity network simulation with distributed computing.
Abigail Morrison, Carsten Mehring, Theo Geisel, A D Aertsen, Markus Diesmann. Neural Comput 2005
Abigail Morrison, Carsten Mehring, Theo Geisel, A D Aertsen, Markus Diesmann. Neural Comput 2005
26
Brian: a simulator for spiking neural networks in python.
Dan Goodman, Romain Brette. Front Neuroinform 2008
Dan Goodman, Romain Brette. Front Neuroinform 2008
22
Towards reproducible descriptions of neuronal network models.
Eilen Nordlie, Marc-Oliver Gewaltig, Hans Ekkehard Plesser. PLoS Comput Biol 2009
Eilen Nordlie, Marc-Oliver Gewaltig, Hans Ekkehard Plesser. PLoS Comput Biol 2009
18
NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.
Padraig Gleeson, Sharon Crook, Robert C Cannon, Michael L Hines, Guy O Billings, Matteo Farinella, Thomas M Morse, Andrew P Davison, Subhasis Ray, Upinder S Bhalla,[...]. PLoS Comput Biol 2010
Padraig Gleeson, Sharon Crook, Robert C Cannon, Michael L Hines, Guy O Billings, Matteo Farinella, Thomas M Morse, Andrew P Davison, Subhasis Ray, Upinder S Bhalla,[...]. PLoS Comput Biol 2010
16
neuroConstruct: a tool for modeling networks of neurons in 3D space.
Padraig Gleeson, Volker Steuber, R Angus Silver. Neuron 2007
Padraig Gleeson, Volker Steuber, R Angus Silver. Neuron 2007
15
PyMOOSE: Interoperable Scripting in Python for MOOSE.
Subhasis Ray, Upinder S Bhalla. Front Neuroinform 2008
Subhasis Ray, Upinder S Bhalla. Front Neuroinform 2008
30
39
Reconstruction and Simulation of Neocortical Microcircuitry.
Henry Markram, Eilif Muller, Srikanth Ramaswamy, Michael W Reimann, Marwan Abdellah, Carlos Aguado Sanchez, Anastasia Ailamaki, Lidia Alonso-Nanclares, Nicolas Antille, Selim Arsever,[...]. Cell 2015
Henry Markram, Eilif Muller, Srikanth Ramaswamy, Michael W Reimann, Marwan Abdellah, Carlos Aguado Sanchez, Anastasia Ailamaki, Lidia Alonso-Nanclares, Nicolas Antille, Selim Arsever,[...]. Cell 2015
15
Spike-timing-dependent plasticity in balanced random networks.
Abigail Morrison, Ad Aertsen, Markus Diesmann. Neural Comput 2007
Abigail Morrison, Ad Aertsen, Markus Diesmann. Neural Comput 2007
13
The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model.
Tobias C Potjans, Markus Diesmann. Cereb Cortex 2014
Tobias C Potjans, Markus Diesmann. Cereb Cortex 2014
13
ModelDB: A Database to Support Computational Neuroscience.
Michael L Hines, Thomas Morse, Michele Migliore, Nicholas T Carnevale, Gordon M Shepherd. J Comput Neurosci 2004
Michael L Hines, Thomas Morse, Michele Migliore, Nicholas T Carnevale, Gordon M Shepherd. J Comput Neurosci 2004
12
Phenomenological models of synaptic plasticity based on spike timing.
Abigail Morrison, Markus Diesmann, Wulfram Gerstner. Biol Cybern 2008
Abigail Morrison, Markus Diesmann, Wulfram Gerstner. Biol Cybern 2008
12
CyNEST: a maintainable Cython-based interface for the NEST simulator.
Yury V Zaytsev, Abigail Morrison. Front Neuroinform 2014
Yury V Zaytsev, Abigail Morrison. Front Neuroinform 2014
92
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity.
Romain Brette, Wulfram Gerstner. J Neurophysiol 2005
Romain Brette, Wulfram Gerstner. J Neurophysiol 2005
11
Exact subthreshold integration with continuous spike times in discrete-time neural network simulations.
Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann. Neural Comput 2007
Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann. Neural Comput 2007
16
Run-time interoperability between neuronal network simulators based on the MUSIC framework.
Mikael Djurfeldt, Johannes Hjorth, Jochen M Eppler, Niraj Dudani, Moritz Helias, Tobias C Potjans, Upinder S Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Orjan Ekeberg. Neuroinformatics 2010
Mikael Djurfeldt, Johannes Hjorth, Jochen M Eppler, Niraj Dudani, Moritz Helias, Tobias C Potjans, Upinder S Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Orjan Ekeberg. Neuroinformatics 2010
27
Signal propagation and logic gating in networks of integrate-and-fire neurons.
Tim P Vogels, L F Abbott. J Neurosci 2005
Tim P Vogels, L F Abbott. J Neurosci 2005
10
Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components.
James A Bednar. Front Neuroinform 2009
James A Bednar. Front Neuroinform 2009
34
Chaos in neuronal networks with balanced excitatory and inhibitory activity.
C van Vreeswijk, H Sompolinsky. Science 1996
C van Vreeswijk, H Sompolinsky. Science 1996
10
The high-conductance state of cortical networks.
Arvind Kumar, Sven Schrader, Ad Aertsen, Stefan Rotter. Neural Comput 2008
Arvind Kumar, Sven Schrader, Ad Aertsen, Stefan Rotter. Neural Comput 2008
10
Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type.
G Q Bi, M M Poo. J Neurosci 1998
G Q Bi, M M Poo. J Neurosci 1998
10
Supercomputers ready for use as discovery machines for neuroscience.
Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann. Front Neuroinform 2012
Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann. Front Neuroinform 2012
41
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel. Front Neuroinform 2018
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel. Front Neuroinform 2018
34
The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability.
M V Tsodyks, H Markram. Proc Natl Acad Sci U S A 1997
M V Tsodyks, H Markram. Proc Natl Acad Sci U S A 1997
9
A quantitative description of membrane current and its application to conduction and excitation in nerve.
A L HODGKIN, A F HUXLEY. J Physiol 1952
A L HODGKIN, A F HUXLEY. J Physiol 1952
9
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling.
S Rotter, M Diesmann. Biol Cybern 1999
S Rotter, M Diesmann. Biol Cybern 1999
12
A general and efficient method for incorporating precise spike times in globally time-driven simulations.
Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann. Front Neuroinform 2010
Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann. Front Neuroinform 2010
33
Meeting the memory challenges of brain-scale network simulation.
Susanne Kunkel, Tobias C Potjans, Jochen M Eppler, Hans Ekkehard Plesser, Abigail Morrison, Markus Diesmann. Front Neuroinform 2012
Susanne Kunkel, Tobias C Potjans, Jochen M Eppler, Hans Ekkehard Plesser, Abigail Morrison, Markus Diesmann. Front Neuroinform 2012
45
A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations.
Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Matthias Bolten, Andreas Frommer, Markus Diesmann. Front Neuroinform 2015
Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Matthias Bolten, Andreas Frommer, Markus Diesmann. Front Neuroinform 2015
64
Differential signaling via the same axon of neocortical pyramidal neurons.
H Markram, Y Wang, M Tsodyks. Proc Natl Acad Sci U S A 1998
H Markram, Y Wang, M Tsodyks. Proc Natl Acad Sci U S A 1998
8
Interoperability of neuroscience modeling software: current status and future directions.
Robert C Cannon, Marc-Oliver Gewaltig, Padraig Gleeson, Upinder S Bhalla, Hugo Cornelis, Michael L Hines, Fredrick W Howell, Eilif Muller, Joel R Stiles, Stefan Wils,[...]. Neuroinformatics 2007
Robert C Cannon, Marc-Oliver Gewaltig, Padraig Gleeson, Upinder S Bhalla, Hugo Cornelis, Michael L Hines, Fredrick W Howell, Eilif Muller, Joel R Stiles, Stefan Wils,[...]. Neuroinformatics 2007
19
Stable propagation of synchronous spiking in cortical neural networks.
M Diesmann, M O Gewaltig, A Aertsen. Nature 1999
M Diesmann, M O Gewaltig, A Aertsen. Nature 1999
8
STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python.
Stefan Wils, Erik De Schutter. Front Neuroinform 2009
Stefan Wils, Erik De Schutter. Front Neuroinform 2009
19
Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities.
Michael Okun, Ilan Lampl. Nat Neurosci 2008
Michael Okun, Ilan Lampl. Nat Neurosci 2008
8
Parallel network simulations with NEURON.
M Migliore, C Cannia, W W Lytton, Henry Markram, M L Hines. J Comput Neurosci 2006
M Migliore, C Cannia, W W Lytton, Henry Markram, M L Hines. J Comput Neurosci 2006
9
Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity.
Wiebke Potjans, Abigail Morrison, Markus Diesmann. Front Comput Neurosci 2010
Wiebke Potjans, Abigail Morrison, Markus Diesmann. Front Comput Neurosci 2010
42
Python as a federation tool for GENESIS 3.0.
Hugo Cornelis, Armando L Rodriguez, Allan D Coop, James M Bower. PLoS One 2012
Hugo Cornelis, Armando L Rodriguez, Allan D Coop, James M Bower. PLoS One 2012
47
Spiking network simulation code for petascale computers.
Susanne Kunkel, Maximilian Schmidt, Jochen M Eppler, Hans E Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann,[...]. Front Neuroinform 2014
Susanne Kunkel, Maximilian Schmidt, Jochen M Eppler, Hans E Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann,[...]. Front Neuroinform 2014
26
Competitive Hebbian learning through spike-timing-dependent synaptic plasticity.
S Song, K D Miller, L F Abbott. Nat Neurosci 2000
S Song, K D Miller, L F Abbott. Nat Neurosci 2000
7
A quantitative map of the circuit of cat primary visual cortex.
Tom Binzegger, Rodney J Douglas, Kevan A C Martin. J Neurosci 2004
Tom Binzegger, Rodney J Douglas, Kevan A C Martin. J Neurosci 2004
7
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
N H Goddard, M Hucka, F Howell, H Cornelis, K Shankar, D Beeman. Philos Trans R Soc Lond B Biol Sci 2001
N H Goddard, M Hucka, F Howell, H Cornelis, K Shankar, D Beeman. Philos Trans R Soc Lond B Biol Sci 2001
12
Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model.
Arvind Kumar, Stefan Rotter, Ad Aertsen. J Neurosci 2008
Arvind Kumar, Stefan Rotter, Ad Aertsen. J Neurosci 2008
7
Synchrony generation in recurrent networks with frequency-dependent synapses.
M Tsodyks, A Uziel, H Markram. J Neurosci 2000
M Tsodyks, A Uziel, H Markram. J Neurosci 2000
7
Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.