A citation-based method for searching scientific literature

Max Nolte, Michael W Reimann, James G King, Henry Markram, Eilif B Muller. Nat Commun 2019
Times Cited: 8







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



Times Cited
  Times     Co-cited
Similarity


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
492
62

CoreNEURON : An Optimized Compute Engine for the NEURON Simulator.
Pramod Kumbhar, Michael Hines, Jeremy Fouriaux, Aleksandr Ovcharenko, James King, Fabien Delalondre, Felix Schürmann. Front Neuroinform 2019
7
28


An algorithm to predict the connectome of neural microcircuits.
Michael W Reimann, James G King, Eilif B Muller, Srikanth Ramaswamy, Henry Markram. Front Comput Neurosci 2015
44
25

Clustering in complex directed networks.
Giorgio Fagiolo. Phys Rev E Stat Nonlin Soft Matter Phys 2007
178
25

Dense inhibitory connectivity in neocortex.
Elodie Fino, Rafael Yuste. Neuron 2011
325
25

Rich cell-type-specific network topology in neocortical microcircuitry.
Eyal Gal, Michael London, Amir Globerson, Srikanth Ramaswamy, Michael W Reimann, Eilif Muller, Henry Markram, Idan Segev. Nat Neurosci 2017
36
25

Thalamocortical oscillations in the sleeping and aroused brain.
M Steriade, D A McCormick, T J Sejnowski. Science 1993
25

Fully implicit parallel simulation of single neurons.
Michael L Hines, Henry Markram, Felix Schürmann. J Comput Neurosci 2008
32
12



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
79
12

Simulating spiking neural networks on GPU.
Romain Brette, Dan F M Goodman. Network 2012
24
12


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
261
12

Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer.
Michael Hines, Sameer Kumar, Felix Schürmann. Front Comput Neurosci 2011
14
12

An Ultrascalable Solution to Large-scale Neural Tissue Simulation.
James Kozloski, John Wagner. Front Neuroinform 2011
23
12

Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model.
Sacha J van Albada, Andrew G Rowley, Johanna Senk, Michael Hopkins, Maximilian Schmidt, Alan B Stokes, David R Lester, Markus Diesmann, Steve B Furber. Front Neurosci 2018
24
12

Neural simulations on multi-core architectures.
Hubert Eichner, Tobias Klug, Alexander Borst. Front Neuroinform 2009
3
33

Large-scale model of mammalian thalamocortical systems.
Eugene M Izhikevich, Gerald M Edelman. Proc Natl Acad Sci U S A 2008
394
12


Asynchronous Branch-Parallel Simulation of Detailed Neuron Models.
Bruno R C Magalhães, Thomas Sterling, Michael Hines, Felix Schürmann. Front Neuroinform 2019
3
33


Neuromorphic silicon neuron circuits.
Giacomo Indiveri, Bernabé Linares-Barranco, Tara Julia Hamilton, André van Schaik, Ralph Etienne-Cummings, Tobi Delbruck, Shih-Chii Liu, Piotr Dudek, Philipp Häfliger, Sylvie Renaud,[...]. Front Neurosci 2011
235
12

GeNN: a code generation framework for accelerated brain simulations.
Esin Yavuz, James Turner, Thomas Nowotny. Sci Rep 2016
28
12

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
12

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
25
12

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.
Christian Pozzorini, Skander Mensi, Olivier Hagens, Richard Naud, Christof Koch, Wulfram Gerstner. PLoS Comput Biol 2015
33
12

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
12

Constructing Neuronal Network Models in Massively Parallel Environments.
Tammo Ippen, Jochen M Eppler, Hans E Plesser, Markus Diesmann. Front Neuroinform 2017
7
14

Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0.
Espen Hagen, Solveig Næss, Torbjørn V Ness, Gaute T Einevoll. Front Neuroinform 2018
22
12

Vectorized algorithms for spiking neural network simulation.
Romain Brette, Dan F M Goodman. Neural Comput 2011
19
12

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study.
Timo Wunderlich, Akos F Kungl, Eric Müller, Andreas Hartel, Yannik Stradmann, Syed Ahmed Aamir, Andreas Grübl, Arthur Heimbrecht, Korbinian Schreiber, David Stöckel,[...]. Front Neurosci 2019
12
12

The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex.
Srikanth Ramaswamy, Jean-Denis Courcol, Marwan Abdellah, Stanislaw R Adaszewski, Nicolas Antille, Selim Arsever, Guy Atenekeng, Ahmet Bilgili, Yury Brukau, Athanassia Chalimourda,[...]. Front Neural Circuits 2015
54
12

Principles of connectivity among morphologically defined cell types in adult neocortex.
Xiaolong Jiang, Shan Shen, Cathryn R Cadwell, Philipp Berens, Fabian Sinz, Alexander S Ecker, Saumil Patel, Andreas S Tolias. Science 2015
357
12

Synchrony of thalamocortical inputs maximizes cortical reliability.
Hsi-Ping Wang, Donald Spencer, Jean-Marc Fellous, Terrence J Sejnowski. Science 2010
93
12

Higher-order structure and epidemic dynamics in clustered networks.
Martin Ritchie, Luc Berthouze, Thomas House, Istvan Z Kiss. J Theor Biol 2014
9
12



Pyramidal cell communication within local networks in layer 2/3 of rat neocortex.
Carl Holmgren, Tibor Harkany, Björn Svennenfors, Yuri Zilberter. J Physiol 2003
348
12

Higher-order organization of complex networks.
Austin R Benson, David F Gleich, Jure Leskovec. Science 2016
92
12

A new correlation-based measure of spike timing reliability.
S Schreiber, J M Fellous, D Whitmer, P Tiesinga, T J Sejnowski. Neurocomputing 2003
163
12

Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity.
Stefano Recanatesi, Gabriel Koch Ocker, Michael A Buice, Eric Shea-Brown. PLoS Comput Biol 2019
13
12


Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity.
Michael W Reimann, Anna-Lena Horlemann, Srikanth Ramaswamy, Eilif B Muller, Henry Markram. Cereb Cortex 2017
15
12

Saturated Reconstruction of a Volume of Neocortex.
Narayanan Kasthuri, Kenneth Jeffrey Hayworth, Daniel Raimund Berger, Richard Lee Schalek, José Angel Conchello, Seymour Knowles-Barley, Dongil Lee, Amelio Vázquez-Reina, Verena Kaynig, Thouis Raymond Jones,[...]. Cell 2015
409
12

Non-holographic associative memory.
D J Willshaw, O P Buneman, H C Longuet-Higgins. Nature 1969
288
12

Laminar and Columnar Structure of Sensory-Evoked Multineuronal Spike Sequences in Adult Rat Barrel Cortex In Vivo.
Vicente Reyes-Puerta, Jyh-Jang Sun, Suam Kim, Werner Kilb, Heiko J Luhmann. Cereb Cortex 2015
48
12

Efficient population coding of naturalistic whisker motion in the ventro-posterior medial thalamus based on precise spike timing.
Michael R Bale, Robin A A Ince, Greta Santagata, Rasmus S Petersen. Front Neural Circuits 2015
9
12

Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks.
T P Vogels, H Sprekeler, F Zenke, C Clopath, W Gerstner. Science 2011
279
12


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.