A citation-based method for searching scientific literature

Abigail Morrison, Carsten Mehring, Theo Geisel, A D Aertsen, Markus Diesmann. Neural Comput 2005
Times Cited: 79







List of co-cited articles
466 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



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
258
32

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
200
32

Spike-timing-dependent plasticity in balanced random networks.
Abigail Morrison, Ad Aertsen, Markus Diesmann. Neural Comput 2007
158
27

PyNEST: A Convenient Interface to the NEST Simulator.
Jochen Martin Eppler, Moritz Helias, Eilif Muller, Markus Diesmann, Marc-Oliver Gewaltig. Front Neuroinform 2009
90
26

Phenomenological models of synaptic plasticity based on spike timing.
Abigail Morrison, Markus Diesmann, Wulfram Gerstner. Biol Cybern 2008
209
22


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
64
25


Parallel network simulations with NEURON.
M Migliore, C Cannia, W W Lytton, Henry Markram, M L Hines. J Comput Neurosci 2006
86
17


[Not Available].
Dejan Pecevski, Thomas Natschläger, Klaus Schuch. Front Neuroinform 2009
38
34

The NEURON simulation environment.
M L Hines, N T Carnevale. Neural Comput 1997
15




The high-conductance state of cortical networks.
Arvind Kumar, Sven Schrader, Ad Aertsen, Stefan Rotter. Neural Comput 2008
107
15



Stable propagation of synchronous spiking in cortical neural networks.
M Diesmann, M O Gewaltig, A Aertsen. Nature 1999
494
13

The high-conductance state of neocortical neurons in vivo.
Alain Destexhe, Michael Rudolph, Denis Paré. Nat Rev Neurosci 2003
656
13

Chaotic balanced state in a model of cortical circuits.
C van Vreeswijk, H Sompolinsky. Neural Comput 1998
375
13

Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
13




Towards reproducible descriptions of neuronal network models.
Eilen Nordlie, Marc-Oliver Gewaltig, Hans Ekkehard Plesser. PLoS Comput Biol 2009
90
12


Large-scale model of mammalian thalamocortical systems.
Eugene M Izhikevich, Gerald M Edelman. Proc Natl Acad Sci U S A 2008
393
12

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
18
55

On numerical simulations of integrate-and-fire neural networks.
D Hansel, G Mato, C Meunier, L Neltner. Neural Comput 1998
109
11

Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
914
11

NEURON and Python.
Michael L Hines, Andrew P Davison, Eilif Muller. Front Neuroinform 2009
170
11

Brian: a simulator for spiking neural networks in python.
Dan Goodman, Romain Brette. Front Neuroinform 2008
185
11

The blue brain project.
Henry Markram. Nat Rev Neurosci 2006
382
10

Large neural network simulations on multiple hardware platforms.
P Hammarlund, O Ekeberg. J Comput Neurosci 1998
21
38

Activity dynamics and propagation of synchronous spiking in locally connected random networks.
Carsten Mehring, Ulrich Hehl, Masayoshi Kubo, Markus Diesmann, Ad Aertsen. Biol Cybern 2003
94
10

Attractor dynamics in a modular network model of neocortex.
Mikael Lundqvist, Martin Rehn, Mikael Djurfeldt, Anders Lansner. Network 2006
46
17

Neuronal integration of synaptic input in the fluctuation-driven regime.
Alexandre Kuhn, Ad Aertsen, Stefan Rotter. J Neurosci 2004
117
10


Limits to the development of feed-forward structures in large recurrent neuronal networks.
Susanne Kunkel, Markus Diesmann, Abigail Morrison. Front Comput Neurosci 2011
30
26

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
22
36

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
28
28


Modeling compositionality by dynamic binding of synfire chains.
Moshe Abeles, Gaby Hayon, Daniel Lehmann. J Comput Neurosci 2004
61
11


A neuronal learning rule for sub-millisecond temporal coding.
W Gerstner, R Kempter, J L van Hemmen, H Wagner. Nature 1996
525
8

Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity.
R Gütig, R Aharonov, S Rotter, Haim Sompolinsky. J Neurosci 2003
204
8


Neural network dynamics.
Tim P Vogels, Kanaka Rajan, L F Abbott. Annu Rev Neurosci 2005
226
8


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.