A citation-based method for searching scientific literature

Stefan Bode, Daniel Feuerriegel, Daniel Bennett, Phillip M Alday. Neuroinformatics 2019
Times Cited: 18







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



Times Cited
  Times     Co-cited
Similarity



Predicting perceptual decision biases from early brain activity.
Stefan Bode, David K Sewell, Simon Lilburn, Jason D Forte, Philip L Smith, Jutta Stahl. J Neurosci 2012
65
44

On the interpretation of weight vectors of linear models in multivariate neuroimaging.
Stefan Haufe, Frank Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann. Neuroimage 2014
485
33

Multivariate pattern analysis of event-related potentials predicts the subjective relevance of everyday objects.
William Francis Turner, Phillip Johnston, Kathleen de Boer, Carmen Morawetz, Stefan Bode. Conscious Cogn 2017
10
60


Nonparametric statistical testing of EEG- and MEG-data.
Eric Maris, Robert Oostenveld. J Neurosci Methods 2007
27


Distributed patterns of event-related potentials predict subsequent ratings of abstract stimulus attributes.
Stefan Bode, Daniel Bennett, Jutta Stahl, Carsten Murawski. PLoS One 2014
14
35

Distributed and overlapping representations of faces and objects in ventral temporal cortex.
J V Haxby, M I Gobbini, M L Furey, A Ishai, J L Schouten, P Pietrini. Science 2001
22

CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave.
Nikolaas N Oosterhof, Andrew C Connolly, James V Haxby. Front Neuroinform 2016
208
22

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
22



A new method for off-line removal of ocular artifact.
G Gratton, M G Coles, E Donchin. Electroencephalogr Clin Neurophysiol 1983
16

Revealing representational content with pattern-information fMRI--an introductory guide.
Marieke Mur, Peter A Bandettini, Nikolaus Kriegeskorte. Soc Cogn Affect Neurosci 2009
234
16

PRoNTo: pattern recognition for neuroimaging toolbox.
J Schrouff, M J Rosa, J M Rondina, A F Marquand, C Chu, J Ashburner, C Phillips, J Richiardi, J Mourão-Miranda. Neuroinformatics 2013
229
16

Information-based functional brain mapping.
Nikolaus Kriegeskorte, Rainer Goebel, Peter Bandettini. Proc Natl Acad Sci U S A 2006
16


ERPLAB: an open-source toolbox for the analysis of event-related potentials.
Javier Lopez-Calderon, Steven J Luck. Front Hum Neurosci 2014
16

A multi-subject, multi-modal human neuroimaging dataset.
Daniel G Wakeman, Richard N Henson. Sci Data 2015
48
11


Single-trial analysis and classification of ERP components--a tutorial.
Benjamin Blankertz, Steven Lemm, Matthias Treder, Stefan Haufe, Klaus-Robert Müller. Neuroimage 2011
451
11

Multivariate EEG analyses support high-resolution tracking of feature-based attentional selection.
Johannes Jacobus Fahrenfort, Anna Grubert, Christian N L Olivers, Martin Eimer. Sci Rep 2017
26
11

Circular analysis in systems neuroscience: the dangers of double dipping.
Nikolaus Kriegeskorte, W Kyle Simmons, Patrick S F Bellgowan, Chris I Baker. Nat Neurosci 2009
11

PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data.
Michael Hanke, Yaroslav O Halchenko, Per B Sederberg, Emanuele Olivetti, Ingo Fründ, Jochem W Rieger, Christoph S Herrmann, James V Haxby, Stephen José Hanson, Stefan Pollmann. Front Neuroinform 2009
66
11


Spherical splines for scalp potential and current density mapping.
F Perrin, J Pernier, O Bertrand, J F Echallier. Electroencephalogr Clin Neurophysiol 1989
11




Dynamics of cognitive control: Theoretical bases, paradigms, and a view for the future.
Gabriele Gratton, Patrick Cooper, Monica Fabiani, Cameron S Carter, Frini Karayanidis. Psychophysiology 2018
75
11


Electrophysiological correlates of anterior cingulate function in a go/no-go task: effects of response conflict and trial type frequency.
Sander Nieuwenhuis, Nick Yeung, Wery van den Wildenberg, K Richard Ridderinkhof. Cogn Affect Behav Neurosci 2003
870
11


From ERPs to MVPA Using the Amsterdam Decoding and Modeling Toolbox (ADAM).
Johannes J Fahrenfort, Joram van Driel, Simon van Gaal, Christian N L Olivers. Front Neurosci 2018
36
11

Machine learning classifiers and fMRI: a tutorial overview.
Francisco Pereira, Tom Mitchell, Matthew Botvinick. Neuroimage 2009
859
11

The Berlin Brain-Computer Interface: Progress Beyond Communication and Control.
Benjamin Blankertz, Laura Acqualagna, Sven Dähne, Stefan Haufe, Matthias Schultze-Kraft, Irene Sturm, Marija Ušćumlic, Markus A Wenzel, Gabriel Curio, Klaus-Robert Müller. Front Neurosci 2016
70
11

Beyond mind-reading: multi-voxel pattern analysis of fMRI data.
Kenneth A Norman, Sean M Polyn, Greg J Detre, James V Haxby. Trends Cogn Sci 2006
11

Introduction to machine learning for brain imaging.
Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, Klaus-Robert Müller. Neuroimage 2011
302
11

BCILAB: a platform for brain-computer interface development.
Christian Andreas Kothe, Scott Makeig. J Neural Eng 2013
115
11

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.
Gaël Varoquaux, Pradeep Reddy Raamana, Denis A Engemann, Andrés Hoyos-Idrobo, Yannick Schwartz, Bertrand Thirion. Neuroimage 2017
258
11

Comparison of multivariate classifiers and response normalizations for pattern-information fMRI.
Masaya Misaki, Youn Kim, Peter A Bandettini, Nikolaus Kriegeskorte. Neuroimage 2010
275
11

Spatio-temporal patterns of event-related potentials related to audiovisual synchrony judgments in older adults.
Yu Man Chan, Michael Julian Pianta, Stefan Bode, Allison Maree McKendrick. Neurobiol Aging 2017
10
20

Frontal theta as a mechanism for cognitive control.
James F Cavanagh, Michael J Frank. Trends Cogn Sci 2014
852
11

PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
Michael Hanke, Yaroslav O Halchenko, Per B Sederberg, Stephen José Hanson, James V Haxby, Stefan Pollmann. Neuroinformatics 2009
254
11

Right or wrong? The brain's fast response to morally objectionable statements.
Jos J A Van Berkum, Bregje Holleman, Mante Nieuwland, Marte Otten, Jaap Murre. Psychol Sci 2009
79
11

Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain.
E T Bullmore, J Suckling, S Overmeyer, S Rabe-Hesketh, E Taylor, M J Brammer. IEEE Trans Med Imaging 1999
816
11


Neural patterns during anticipation predict emotion regulation success for reappraisal.
Elektra Schubert, James A Agathos, Maja Brydevall, Daniel Feuerriegel, Peter Koval, Carmen Morawetz, Stefan Bode. Cogn Affect Behav Neurosci 2020
2
100

When Brain Beats Behavior: Neuroforecasting Crowdfunding Outcomes.
Alexander Genevsky, Carolyn Yoon, Brian Knutson. J Neurosci 2017
30
11


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.