A citation-based method for searching scientific literature

Jose M Esnaola-Acebes, Alex Roxin, Daniele Avitabile, Ernest Montbrió. Phys Rev E 2017
Times Cited: 13







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



Times Cited
  Times     Co-cited
Similarity




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
76


Next-generation neural field model: The evolution of synchrony within patterns and waves.
Áine Byrne, Daniele Avitabile, Stephen Coombes. Phys Rev E 2019
17
53


Long time evolution of phase oscillator systems.
Edward Ott, Thomas M Antonsen. Chaos 2009
194
46




Network mechanisms underlying the role of oscillations in cognitive tasks.
Helmut Schmidt, Daniele Avitabile, Ernest Montbrió, Alex Roxin. PLoS Comput Biol 2018
24
38

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
38




Stationary bumps in networks of spiking neurons.
C R Laing, C C Chow. Neural Comput 2001
122
30



Inhibition-based rhythms: experimental and mathematical observations on network dynamics.
M A Whittington, R D Traub, N Kopell, B Ermentrout, E H Buhl. Int J Psychophysiol 2000
529
23


From spiking neuron models to linear-nonlinear models.
Srdjan Ostojic, Nicolas Brunel. PLoS Comput Biol 2011
96
23



Theory of orientation tuning in visual cortex.
R Ben-Yishai, R L Bar-Or, H Sompolinsky. Proc Natl Acad Sci U S A 1995
560
23

A complex-valued firing-rate model that approximates the dynamics of spiking networks.
Evan S Schaffer, Srdjan Ostojic, L F Abbott. PLoS Comput Biol 2013
27
23


Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation.
Moritz Augustin, Josef Ladenbauer, Fabian Baumann, Klaus Obermayer. PLoS Comput Biol 2017
25
23

Ott-Antonsen attractiveness for parameter-dependent oscillatory systems.
Bastian Pietras, Andreas Daffertshofer. Chaos 2016
17
23

Average activity of excitatory and inhibitory neural populations.
Javier Roulet, Gabriel B Mindlin. Chaos 2016
13
23

Intrinsic dynamics in neuronal networks. I. Theory.
P E Latham, B J Richmond, P G Nelson, S Nirenberg. J Neurophysiol 2000
157
23

Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory.
Klaus Wimmer, Duane Q Nykamp, Christos Constantinidis, Albert Compte. Nat Neurosci 2014
176
23

A mean field model for movement induced changes in the beta rhythm.
Áine Byrne, Matthew J Brookes, Stephen Coombes. J Comput Neurosci 2017
16
23


Macroscopic phase-resetting curves for spiking neural networks.
Grégory Dumont, G Bard Ermentrout, Boris Gutkin. Phys Rev E 2017
13
23


Identical phase oscillators with global sinusoidal coupling evolve by Mobius group action.
Seth A Marvel, Renato E Mirollo, Steven H Strogatz. Chaos 2009
69
23



Firing rate models for gamma oscillations.
Stephen Keeley, Áine Byrne, André Fenton, John Rinzel. J Neurophysiol 2019
10
30

Moving bumps in theta neuron networks.
Carlo R Laing, Oleh Omel'chenko. Chaos 2020
7
42

Bumps and oscillons in networks of spiking neurons.
Helmut Schmidt, Daniele Avitabile. Chaos 2020
4
75


Dynamics of feature categorization.
Daniel Martí, John Rinzel. Neural Comput 2013
13
15


Neural networks with dynamic synapses.
M Tsodyks, K Pawelzik, H Markram. Neural Comput 1998
382
15

Bumps in Small-World Networks.
Carlo R Laing. Front Comput Neurosci 2016
6
33


Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.
Peter Ashwin, Stephen Coombes, Rachel Nicks. J Math Neurosci 2016
70
15

Sparse gamma rhythms arising through clustering in adapting neuronal networks.
Zachary P Kilpatrick, Bard Ermentrout. PLoS Comput Biol 2011
27
15

Synaptic theory of working memory.
Gianluigi Mongillo, Omri Barak, Misha Tsodyks. Science 2008
575
15


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.