A citation-based method for searching scientific literature

Bak, Tang, Wiesenfeld. Phys Rev Lett 1987
Times Cited: 1680







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



Times Cited
  Times     Co-cited
Similarity


Self-organized criticality as a fundamental property of neural systems.
Janina Hesse, Thilo Gross. Front Syst Neurosci 2014
136
14

Self-organized criticality.
Bak, Tang, Wiesenfeld. Phys Rev A Gen Phys 1988
845
13

Neuronal avalanches in neocortical circuits.
John M Beggs, Dietmar Plenz. J Neurosci 2003
804
10

Crackling noise.
J P Sethna, K A Dahmen, C R Myers. Nature 2001
376
9

Spike avalanches in vivo suggest a driven, slightly subcritical brain state.
Viola Priesemann, Michael Wibral, Mario Valderrama, Robert Pröpper, Michel Le Van Quyen, Theo Geisel, Jochen Triesch, Danko Nikolić, Matthias H J Munk. Front Syst Neurosci 2014
108
7

Real-time computation at the edge of chaos in recurrent neural networks.
Nils Bertschinger, Thomas Natschläger. Neural Comput 2004
236
7

Emergence of scaling in random networks
Barabasi, Albert. Science 1999
7


Complexity, contingency, and criticality.
P Bak, M Paczuski. Proc Natl Acad Sci U S A 1995
107
6

Early-warning signals for critical transitions.
Marten Scheffer, Jordi Bascompte, William A Brock, Victor Brovkin, Stephen R Carpenter, Vasilis Dakos, Hermann Held, Egbert H van Nes, Max Rietkerk, George Sugihara. Nature 2009
985
6

The functional benefits of criticality in the cortex.
Woodrow L Shew, Dietmar Plenz. Neuroscientist 2013
197
6

Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches.
Woodrow L Shew, Hongdian Yang, Shan Yu, Rajarshi Roy, Dietmar Plenz. J Neurosci 2011
256
6


Spontaneous cortical activity in awake monkeys composed of neuronal avalanches.
Thomas Petermann, Tara C Thiagarajan, Mikhail A Lebedev, Miguel A L Nicolelis, Dante R Chialvo, Dietmar Plenz. Proc Natl Acad Sci U S A 2009
254
6


Universal critical dynamics in high resolution neuronal avalanche data.
Nir Friedman, Shinya Ito, Braden A W Brinkman, Masanori Shimono, R E Lee DeVille, Karin A Dahmen, John M Beggs, Thomas C Butler. Phys Rev Lett 2012
174
6

Power-law statistics and universal scaling in the absence of criticality.
Jonathan Touboul, Alain Destexhe. Phys Rev E 2017
50
12




Decomposing alpha and 1/f brain activities reveals their differential associations with cognitive processing speed.
Guang Ouyang, Andrea Hildebrandt, Florian Schmitz, Christoph S Herrmann. Neuroimage 2020
30
16

Fractal characterization of complexity in temporal physiological signals.
A Eke, P Herman, L Kocsis, L R Kozak. Physiol Meas 2002
247
5

Mathematics. Critical truths about power laws.
Michael P H Stumpf, Mason A Porter. Science 2012
151
5


Being critical of criticality in the brain.
John M Beggs, Nicholas Timme. Front Physiol 2012
184
5

Neuronal avalanches imply maximum dynamic range in cortical networks at criticality.
Woodrow L Shew, Hongdian Yang, Thomas Petermann, Rajarshi Roy, Dietmar Plenz. J Neurosci 2009
277
5

Critical-state dynamics of avalanches and oscillations jointly emerge from balanced excitation/inhibition in neuronal networks.
Simon-Shlomo Poil, Richard Hardstone, Huibert D Mansvelder, Klaus Linkenkaer-Hansen. J Neurosci 2012
176
5

The brainweb: phase synchronization and large-scale integration.
F Varela, J P Lachaux, E Rodriguez, J Martinerie. Nat Rev Neurosci 2001
4



Unified scaling law for earthquakes.
Per Bak, Kim Christensen, Leon Danon, Tim Scanlon. Phys Rev Lett 2002
135
4


Inferring collective dynamical states from widely unobserved systems.
Jens Wilting, Viola Priesemann. Nat Commun 2018
34
11

Second type of criticality in the brain uncovers rich multiple-neuron dynamics.
David Dahmen, Sonja Grün, Markus Diesmann, Moritz Helias. Proc Natl Acad Sci U S A 2019
16
25

The temporal structures and functional significance of scale-free brain activity.
Biyu J He, John M Zempel, Abraham Z Snyder, Marcus E Raichle. Neuron 2010
467
4

Integrated information theory: from consciousness to its physical substrate.
Giulio Tononi, Melanie Boly, Marcello Massimini, Christof Koch. Nat Rev Neurosci 2016
363
4

Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws.
J Matias Palva, Alexander Zhigalov, Jonni Hirvonen, Onerva Korhonen, Klaus Linkenkaer-Hansen, Satu Palva. Proc Natl Acad Sci U S A 2013
216
4

Sandpile on scale-free networks.
K-I Goh, D-S Lee, B Kahng, D Kim. Phys Rev Lett 2003
82
4

Criticality in large-scale brain FMRI dynamics unveiled by a novel point process analysis.
Enzo Tagliazucchi, Pablo Balenzuela, Daniel Fraiman, Dante R Chialvo. Front Physiol 2012
322
4

Optimization by Self-Organized Criticality.
Heiko Hoffmann, David W Payton. Sci Rep 2018
13
30

Detrended fluctuation analysis: a scale-free view on neuronal oscillations.
Richard Hardstone, Simon-Shlomo Poil, Giuseppina Schiavone, Rick Jansen, Vadim V Nikulin, Huibert D Mansvelder, Klaus Linkenkaer-Hansen. Front Physiol 2012
154
4



Criticality in the brain: A synthesis of neurobiology, models and cognition.
Luca Cocchi, Leonardo L Gollo, Andrew Zalesky, Michael Breakspear. Prog Neurobiol 2017
122
4


Critical slowing down as early warning for the onset and termination of depression.
Ingrid A van de Leemput, Marieke Wichers, Angélique O J Cramer, Denny Borsboom, Francis Tuerlinckx, Peter Kuppens, Egbert H van Nes, Wolfgang Viechtbauer, Erik J Giltay, Steven H Aggen,[...]. Proc Natl Acad Sci U S A 2014
247
4

Scale-free dynamics of global functional connectivity in the human brain.
Cornelis Jan Stam, Eveline Astrid de Bruin. Hum Brain Mapp 2004
149
4

Neuronal avalanches in the resting MEG of the human brain.
Oren Shriki, Jeff Alstott, Frederick Carver, Tom Holroyd, Richard N A Henson, Marie L Smith, Richard Coppola, Edward Bullmore, Dietmar Plenz. J Neurosci 2013
131
4

Powerlaw: a Python package for analysis of heavy-tailed distributions.
Jeff Alstott, Ed Bullmore, Dietmar Plenz. PLoS One 2014
146
4



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.