A citation-based method for searching scientific literature

Carlo R Laing, Christian Bläsche, Shawn Means. Front Syst Neurosci 2021
Times Cited: 3







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



Times Cited
  Times     Co-cited
Similarity



Dynamics of Noisy Oscillator Populations beyond the Ott-Antonsen Ansatz.
Irina V Tyulkina, Denis S Goldobin, Lyudmila S Klimenko, Arkady Pikovsky. Phys Rev Lett 2018
28
100


Long time evolution of phase oscillator systems.
Edward Ott, Thomas M Antonsen. Chaos 2009
194
66


Collective mode reductions for populations of coupled noisy oscillators.
Denis S Goldobin, Irina V Tyulkina, Lyudmila S Klimenko, Arkady Pikovsky. Chaos 2018
15
66

Synchronization scenarios in the Winfree model of coupled oscillators.
Rafael Gallego, Ernest Montbrió, Diego Pazó. Phys Rev E 2017
12
66

Derivation of a neural field model from a network of theta neurons.
Carlo R Laing. Phys Rev E Stat Nonlin Soft Matter Phys 2014
50
66





Degree Correlations Optimize Neuronal Network Sensitivity to Sub-Threshold Stimuli.
Christian Schmeltzer, Alexandre Hiroaki Kihara, Igor Michailovitsch Sokolov, Sten Rüdiger. PLoS One 2015
13
33


Solvable model for chimera states of coupled oscillators.
Daniel M Abrams, Rennie Mirollo, Steven H Strogatz, Daniel A Wiley. Phys Rev Lett 2008
233
33

Modeling the network dynamics of pulse-coupled neurons.
Sarthak Chandra, David Hathcock, Kimberly Crain, Thomas M Antonsen, Michelle Girvan, Edward Ott. Chaos 2017
14
33

Stochastic cellular automata model of neural networks.
A V Goltsev, F V de Abreu, S N Dorogovtsev, J F F Mendes. Phys Rev E Stat Nonlin Soft Matter Phys 2010
14
33

Stability diagram for the forced Kuramoto model.
Lauren M Childs, Steven H Strogatz. Chaos 2008
78
33


Population equations for degree-heterogenous neural networks.
M Kähne, I M Sokolov, S Rüdiger. Phys Rev E 2017
3
33




The relevance of network micro-structure for neural dynamics.
Volker Pernice, Moritz Deger, Stefano Cardanobile, Stefan Rotter. Front Comput Neurosci 2013
17
33

Partially coherent twisted states in arrays of coupled phase oscillators.
Oleh E Omel'chenko, Matthias Wolfrum, Carlo R Laing. Chaos 2014
19
33

Mean-field equations for neuronal networks with arbitrary degree distributions.
Duane Q Nykamp, Daniel Friedman, Sammy Shaker, Maxwell Shinn, Michael Vella, Albert Compte, Alex Roxin. Phys Rev E 2017
8
33

Effect of node-degree correlation on synchronization of identical pulse-coupled oscillators.
M Drew LaMar, Gregory D Smith. Phys Rev E Stat Nonlin Soft Matter Phys 2010
12
33


Nonuniversal results induced by diversity distribution in coupled excitable systems.
Luis F Lafuerza, Pere Colet, Raul Toral. Phys Rev Lett 2010
32
33

Gap junctions destroy persistent states in excitatory networks.
Bard Ermentrout. Phys Rev E Stat Nonlin Soft Matter Phys 2006
18
33

Anti-correlations in the degree distribution increase stimulus detection performance in noisy spiking neural networks.
Marijn B Martens, Arthur R Houweling, Paul H E Tiesinga. J Comput Neurosci 2017
5
33

Enhancing neural-network performance via assortativity.
Sebastiano de Franciscis, Samuel Johnson, Joaquín J Torres. Phys Rev E Stat Nonlin Soft Matter Phys 2011
15
33



Intrinsic dynamics in neuronal networks. I. Theory.
P E Latham, B J Richmond, P G Nelson, S Nirenberg. J Neurophysiol 2000
157
33

Highly nonrandom features of synaptic connectivity in local cortical circuits.
Sen Song, Per Jesper Sjöström, Markus Reigl, Sacha Nelson, Dmitri B Chklovskii. PLoS Biol 2005
815
33

Exact firing rate model reveals the differential effects of chemical versus electrical synapses in spiking networks.
Bastian Pietras, Federico Devalle, Alex Roxin, Andreas Daffertshofer, Ernest Montbrió. Phys Rev E 2019
13
33

Electrical coupling and neuronal synchronization in the Mammalian brain.
Michael V L Bennett, R Suzanne Zukin. Neuron 2004
461
33

An Emergent Space for Distributed Data with Hidden Internal Order through Manifold Learning.
Felix P Kemeth, Sindre W Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M Bollt, Ronen Talmon, Katharina Krischer, Ioannis G Kevrekidis. IEEE Access 2018
7
33


Managing heterogeneity in the study of neural oscillator dynamics.
Carlo R Laing, Yu Zou, Ben Smith, Ioannis G Kevrekidis. J Math Neurosci 2012
8
33

Nonparametric inference of interaction laws in systems of agents from trajectory data.
Fei Lu, Ming Zhong, Sui Tang, Mauro Maggioni. Proc Natl Acad Sci U S A 2019
8
33

A general regression neural network.
D F Specht. IEEE Trans Neural Netw 1991
366
33

A stochastic agent-based model of the SARS-CoV-2 epidemic in France.
Nicolas Hoertel, Martin Blachier, Carlos Blanco, Mark Olfson, Marc Massetti, Marina Sánchez Rico, Frédéric Limosin, Henri Leleu. Nat Med 2020
94
33

Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review.
Christian Bick, Marc Goodfellow, Carlo R Laing, Erik A Martens. J Math Neurosci 2020
36
33

SciPy 1.0: fundamental algorithms for scientific computing in Python.
Pauli Virtanen, Ralf Gommers, Travis E Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright,[...]. Nat Methods 2020
33

Crossover from Two- to Three-Dimensional Turbulence.
Smith, Chasnov, Waleffe. Phys Rev Lett 1996
24
33

Coarse-scale PDEs from fine-scale observations via machine learning.
Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos Spiliotis, Constantinos I Siettos, Ioannis G Kevrekidis. Chaos 2020
4
33

Deep learning to discover and predict dynamics on an inertial manifold.
Alec J Linot, Michael D Graham. Phys Rev E 2020
5
33

Hyperviscosity, Galerkin truncation, and bottlenecks in turbulence.
Uriel Frisch, Susan Kurien, Rahul Pandit, Walter Pauls, Samriddhi Sankar Ray, Achim Wirth, Jian-Zhou Zhu. Phys Rev Lett 2008
23
33


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.