A citation-based method for searching scientific literature

Eugene M Izhikevich, Gerald M Edelman. Proc Natl Acad Sci U S A 2008
Times Cited: 421







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



Times Cited
  Times     Co-cited
Similarity


Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
28

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
587
27


Which model to use for cortical spiking neurons?
Eugene M Izhikevich. IEEE Trans Neural Netw 2004
557
15


The dynamic brain: from spiking neurons to neural masses and cortical fields.
Gustavo Deco, Viktor K Jirsa, Peter A Robinson, Michael Breakspear, Karl Friston. PLoS Comput Biol 2008
524
14


The blue brain project.
Henry Markram. Nat Rev Neurosci 2006
397
13

A large-scale model of the functioning brain.
Chris Eliasmith, Terrence C Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. Science 2012
259
12

Dynamic models of large-scale brain activity.
Michael Breakspear. Nat Neurosci 2017
306
11


Network structure of cerebral cortex shapes functional connectivity on multiple time scales.
Christopher J Honey, Rolf Kötter, Michael Breakspear, Olaf Sporns. Proc Natl Acad Sci U S A 2007
973
9

The Virtual Brain: a simulator of primate brain network dynamics.
Paula Sanz Leon, Stuart A Knock, M Marmaduke Woodman, Lia Domide, Jochen Mersmann, Anthony R McIntosh, Viktor Jirsa. Front Neuroinform 2013
190
9

Modeling single-neuron dynamics and computations: a balance of detail and abstraction.
Andreas V M Herz, Tim Gollisch, Christian K Machens, Dieter Jaeger. Science 2006
184
9

Single-column thalamocortical network model exhibiting gamma oscillations, sleep spindles, and epileptogenic bursts.
Roger D Traub, Diego Contreras, Mark O Cunningham, Hilary Murray, Fiona E N LeBeau, Anita Roopun, Andrea Bibbig, W Bryan Wilent, Michael J Higley, Miles A Whittington. J Neurophysiol 2005
248
9


A mesoscale connectome of the mouse brain.
Seung Wook Oh, Julie A Harris, Lydia Ng, Brent Winslow, Nicholas Cain, Stefan Mihalas, Quanxin Wang, Chris Lau, Leonard Kuan, Alex M Henry,[...]. Nature 2014
8

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
37
21

The NEURON simulation environment.
M L Hines, N T Carnevale. Neural Comput 1997
8



Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface.
Paul A Merolla, John V Arthur, Rodrigo Alvarez-Icaza, Andrew S Cassidy, Jun Sawada, Filipp Akopyan, Bryan L Jackson, Nabil Imam, Chen Guo, Yutaka Nakamura,[...]. Science 2014
595
7


The human brain project.
Henry Markram. Sci Am 2012
97
7

Visual physiology of the layer 4 cortical circuit in silico.
Anton Arkhipov, Nathan W Gouwens, Yazan N Billeh, Sergey Gratiy, Ramakrishnan Iyer, Ziqiang Wei, Zihao Xu, Reza Abbasi-Asl, Jim Berg, Michael Buice,[...]. PLoS Comput Biol 2018
30
23

Mapping the structural core of human cerebral cortex.
Patric Hagmann, Leila Cammoun, Xavier Gigandet, Reto Meuli, Christopher J Honey, Van J Wedeen, Olaf Sporns. PLoS Biol 2008
7



Key role of coupling, delay, and noise in resting brain fluctuations.
Gustavo Deco, Viktor Jirsa, A R McIntosh, Olaf Sporns, Rolf Kötter. Proc Natl Acad Sci U S A 2009
417
6


Thalamocortical oscillations in the sleeping and aroused brain.
M Steriade, D A McCormick, T J Sejnowski. Science 1993
6

Modeling sleep and wakefulness in the thalamocortical system.
Sean Hill, Giulio Tononi. J Neurophysiol 2005
217
6

Neuronal oscillations in cortical networks.
György Buzsáki, Andreas Draguhn. Science 2004
6


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
36
16


Mathematical framework for large-scale brain network modeling in The Virtual Brain.
Paula Sanz-Leon, Stuart A Knock, Andreas Spiegler, Viktor K Jirsa. Neuroimage 2015
127
6

Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit.
Marianne J Bezaire, Ivan Raikov, Kelly Burk, Dhrumil Vyas, Ivan Soltesz. Elife 2016
79
7

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
6


Emerging concepts for the dynamical organization of resting-state activity in the brain.
Gustavo Deco, Viktor K Jirsa, Anthony R McIntosh. Nat Rev Neurosci 2011
893
5

Similar network activity from disparate circuit parameters.
Astrid A Prinz, Dirk Bucher, Eve Marder. Nat Neurosci 2004
550
5

Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
651
5

A predictive network model of cerebral cortical connectivity based on a distance rule.
Mária Ercsey-Ravasz, Nikola T Markov, Camille Lamy, David C Van Essen, Kenneth Knoblauch, Zoltán Toroczkai, Henry Kennedy. Neuron 2013
208
5

The use and abuse of large-scale brain models.
Chris Eliasmith, Oliver Trujillo. Curr Opin Neurobiol 2014
42
11

Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.
Shuangming Yang, Jiang Wang, Shunan Li, Bin Deng, Xile Wei, Haitao Yu, Huiyan Li. Neural Netw 2015
17
29

Rich-club organization of the human connectome.
Martijn P van den Heuvel, Olaf Sporns. J Neurosci 2011
5

Predicting human resting-state functional connectivity from structural connectivity.
C J Honey, O Sporns, L Cammoun, X Gigandet, J P Thiran, R Meuli, P Hagmann. Proc Natl Acad Sci U S A 2009
5




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.