A citation-based method for searching scientific literature

Gustavo Rohenkohl, Anna C Nobre. J Neurosci 2011
Times Cited: 214







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



Times Cited
  Times     Co-cited
Similarity



Nonparametric statistical testing of EEG- and MEG-data.
Eric Maris, Robert Oostenveld. J Neurosci Methods 2007
36

FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data.
Robert Oostenveld, Pascal Fries, Eric Maris, Jan-Mathijs Schoffelen. Comput Intell Neurosci 2011
32



EEG alpha oscillations: the inhibition-timing hypothesis.
Wolfgang Klimesch, Paul Sauseng, Simon Hanslmayr. Brain Res Rev 2007
27

A shift of visual spatial attention is selectively associated with human EEG alpha activity.
P Sauseng, W Klimesch, W Stadler, M Schabus, M Doppelmayr, S Hanslmayr, W R Gruber, N Birbaumer. Eur J Neurosci 2005
478
24


Entrainment of neuronal oscillations as a mechanism of attentional selection.
Peter Lakatos, George Karmos, Ashesh D Mehta, Istvan Ulbert, Charles E Schroeder. Science 2008
20



Anticipated moments: temporal structure in attention.
Anna C Nobre, Freek van Ede. Nat Rev Neurosci 2018
185
19

Low-frequency neuronal oscillations as instruments of sensory selection.
Charles E Schroeder, Peter Lakatos. Trends Neurosci 2009
900
18

Synergistic effect of combined temporal and spatial expectations on visual attention.
Joanna R Doherty, Anling Rao, M Marsel Mesulam, Anna C Nobre. J Neurosci 2005
228
18

Indexing the graded allocation of visuospatial attention using anticipatory alpha oscillations.
Ian C Gould, Matthew F Rushworth, Anna C Nobre. J Neurophysiol 2011
159
18

Prestimulus oscillatory activity in the alpha band predicts visual discrimination ability.
Hanneke van Dijk, Jan-Mathijs Schoffelen, Robert Oostenveld, Ole Jensen. J Neurosci 2008
534
18



The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
17

Orienting attention in time. Modulation of brain potentials.
C Miniussi, E L Wilding, J T Coull, A C Nobre. Brain 1999
243
16

Prestimulus oscillations predict visual perception performance between and within subjects.
Simon Hanslmayr, Alp Aslan, Tobias Staudigl, Wolfgang Klimesch, Christoph S Herrmann, Karl-Heinz Bäuml. Neuroimage 2007
455
16


Top-down control of the phase of alpha-band oscillations as a mechanism for temporal prediction.
Jason Samaha, Phoebe Bauer, Sawyer Cimaroli, Bradley R Postle. Proc Natl Acad Sci U S A 2015
126
15

Age-related changes in orienting attention in time.
Theodore P Zanto, Peter Pan, Helen Liu, Jacob Bollinger, Anna C Nobre, Adam Gazzaley. J Neurosci 2011
80
18

α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking.
Saskia Haegens, Verónica Nácher, Rogelio Luna, Ranulfo Romo, Ole Jensen. Proc Natl Acad Sci U S A 2011
414
14

To see or not to see: prestimulus alpha phase predicts visual awareness.
Kyle E Mathewson, Gabriele Gratton, Monica Fabiani, Diane M Beck, Tony Ro. J Neurosci 2009
615
14


Temporal expectation improves the quality of sensory information.
Gustavo Rohenkohl, André M Cravo, Valentin Wyart, Anna C Nobre. J Neurosci 2012
151
14

The hazards of time.
Ac Nobre, A Correa, Jt Coull. Curr Opin Neurobiol 2007
326
14

Neurophysiology of implicit timing in serial choice reaction-time performance.
Peter Praamstra, Dimitrios Kourtis, Hoi Fei Kwok, Robert Oostenveld. J Neurosci 2006
126
13


Cortical oscillations and sensory predictions.
Luc H Arnal, Anne-Lise Giraud. Trends Cogn Sci 2012
521
13

Dynamic imaging of coherent sources: Studying neural interactions in the human brain.
J Gross, J Kujala, M Hamalainen, L Timmermann, A Schnitzler, R Salmelin. Proc Natl Acad Sci U S A 2001
12

The phase of ongoing EEG oscillations predicts visual perception.
Niko A Busch, Julien Dubois, Rufin VanRullen. J Neurosci 2009
652
12

Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex.
Timo van Kerkoerle, Matthew W Self, Bruno Dagnino, Marie-Alice Gariel-Mathis, Jasper Poort, Chris van der Togt, Pieter R Roelfsema. Proc Natl Acad Sci U S A 2014
424
12

Frontoparietal cortex controls spatial attention through modulation of anticipatory alpha rhythms.
Paolo Capotosto, Claudio Babiloni, Gian Luca Romani, Maurizio Corbetta. J Neurosci 2009
309
12



Combining spatial and temporal expectations to improve visual perception.
Gustavo Rohenkohl, Ian C Gould, Jéssica Pessoa, Anna C Nobre. J Vis 2014
83
13

Perceptual Cycles.
Rufin VanRullen. Trends Cogn Sci 2016
264
11

Attention and temporal expectations modulate power, not phase, of ongoing alpha oscillations.
Rosanne M van Diepen, Michael X Cohen, Damiaan Denys, Ali Mazaheri. J Cogn Neurosci 2015
68
16

Alpha rhythm of the EEG modulates visual detection performance in humans.
Tolgay Ergenoglu, Tamer Demiralp, Zubeyir Bayraktaroglu, Mehmet Ergen, Huseyin Beydagi, Yagiz Uresin. Brain Res Cogn Brain Res 2004
318
11


Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas.
Georgios Michalareas, Julien Vezoli, Stan van Pelt, Jan-Mathijs Schoffelen, Henry Kennedy, Pascal Fries. Neuron 2016
318
11


Orienting of attention.
M I Posner. Q J Exp Psychol 1980
10

Neural modulation by regularity and passage of time.
Angel Correa, Anna C Nobre. J Neurophysiol 2008
95
10

Temporal attention enhances early visual processing: a review and new evidence from event-related potentials.
Angel Correa, Juan Lupiáñez, Eduardo Madrid, Pío Tudela. Brain Res 2006
196
10

Phase entrainment of human delta oscillations can mediate the effects of expectation on reaction speed.
Gábor Stefanics, Balázs Hangya, István Hernádi, István Winkler, Péter Lakatos, István Ulbert. J Neurosci 2010
245
9

Endogenous modulation of low frequency oscillations by temporal expectations.
Andre M Cravo, Gustavo Rohenkohl, Valentin Wyart, Anna C Nobre. J Neurophysiol 2011
88
10


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.