A citation-based method for searching scientific literature

Samuel J Gershman, David M Blei, Francisco Pereira, Kenneth A Norman. Neuroimage 2011
Times Cited: 19







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



Times Cited
  Times     Co-cited
Similarity


Topographic factor analysis: a Bayesian model for inferring brain networks from neural data.
Jeremy R Manning, Rajesh Ranganath, Kenneth A Norman, David M Blei. PLoS One 2014
18
44



A Bayesian framework for simultaneously modeling neural and behavioral data.
Brandon M Turner, Birte U Forstmann, Eric-Jan Wagenmakers, Scott D Brown, Per B Sederberg, Mark Steyvers. Neuroimage 2013
80
31

Striatum and pre-SMA facilitate decision-making under time pressure.
Birte U Forstmann, Gilles Dutilh, Scott Brown, Jane Neumann, D Yves von Cramon, K Richard Ridderinkhof, Eric-Jan Wagenmakers. Proc Natl Acad Sci U S A 2008
387
26

Cortico-striatal connections predict control over speed and accuracy in perceptual decision making.
Birte U Forstmann, Alfred Anwander, Andreas Schäfer, Jane Neumann, Scott Brown, Eric-Jan Wagenmakers, Rafal Bogacz, Robert Turner. Proc Natl Acad Sci U S A 2010
250
26

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
26

Neurally constrained modeling of perceptual decision making.
Braden A Purcell, Richard P Heitz, Jeremiah Y Cohen, Jeffrey D Schall, Gordon D Logan, Thomas J Palmeri. Psychol Rev 2010
211
26

Classical and Bayesian inference in neuroimaging: theory.
K J Friston, W Penny, C Phillips, S Kiebel, G Hinton, J Ashburner. Neuroimage 2002
373
21

A method for efficiently sampling from distributions with correlated dimensions.
Brandon M Turner, Per B Sederberg, Scott D Brown, Mark Steyvers. Psychol Methods 2013
98
21

The speed-accuracy tradeoff in the elderly brain: a structural model-based approach.
Birte U Forstmann, Marc Tittgemeyer, Eric-Jan Wagenmakers, Jan Derrfuss, Davide Imperati, Scott Brown. J Neurosci 2011
132
21

Temporal difference models and reward-related learning in the human brain.
John P O'Doherty, Peter Dayan, Karl Friston, Hugo Critchley, Raymond J Dolan. Neuron 2003
959
21

Dynamic causal modelling.
K J Friston, L Harrison, W Penny. Neuroimage 2003
21

Model-based fMRI and its application to reward learning and decision making.
John P O'Doherty, Alan Hampton, Hackjin Kim. Ann N Y Acad Sci 2007
284
21


Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution.
Udo Boehm, Leendert van Maanen, Birte Forstmann, Hedderik van Rijn. Neuroimage 2014
53
21

Neural correlates of trial-to-trial fluctuations in response caution.
Leendert van Maanen, Scott D Brown, Tom Eichele, Eric-Jan Wagenmakers, Tiffany Ho, John Serences, Birte U Forstmann. J Neurosci 2011
113
21

Informing cognitive abstractions through neuroimaging: the neural drift diffusion model.
Brandon M Turner, Leendert van Maanen, Birte U Forstmann. Psychol Rev 2015
67
21

Decoding the brain's algorithm for categorization from its neural implementation.
Michael L Mack, Alison R Preston, Bradley C Love. Curr Biol 2013
75
21

Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract?
Birte U Forstmann, Eric-Jan Wagenmakers, Tom Eichele, Scott Brown, John T Serences. Trends Cogn Sci 2011
88
21


Individual differences in attention influence perceptual decision making.
Michael D Nunez, Ramesh Srinivasan, Joachim Vandekerckhove. Front Psychol 2015
30
21

A survey of model evaluation approaches with a tutorial on hierarchical bayesian methods.
Richard M Shiffrin, Michael D Lee, Woojae Kim, Eric-Jan Wagenmakers. Cogn Sci 2008
124
15

A ballistic model of choice response time.
Scott Brown, Andrew Heathcote. Psychol Rev 2005
118
15


Model-based approaches to neuroimaging: combining reinforcement learning theory with fMRI data.
Jan P Gläscher, John P O'Doherty. Wiley Interdiscip Rev Cogn Sci 2010
59
15

Fully Bayesian spatio-temporal modeling of FMRI data.
Mark W Woolrich, Mark Jenkinson, J Michael Brady, Stephen M Smith. IEEE Trans Med Imaging 2004
130
15



Economic value biases uncertain perceptual choices in the parietal and prefrontal cortices.
Christopher Summerfield, Etienne Koechlin. Front Hum Neurosci 2010
49
15

Decomposing decision components in the stop-signal task: a model-based approach to individual differences in inhibitory control.
Corey N White, Eliza Congdon, Jeanette A Mumford, Katherine H Karlsgodt, Fred W Sabb, Nelson B Freimer, Edythe D London, Tyrone D Cannon, Robert M Bilder, Russell A Poldrack. J Cogn Neurosci 2014
59
15

The optimality of sensory processing during the speed-accuracy tradeoff.
Tiffany Ho, Scott Brown, Leendert van Maanen, Birte U Forstmann, Eric-Jan Wagenmakers, John T Serences. J Neurosci 2012
59
15

Bias in the brain: a diffusion model analysis of prior probability and potential payoff.
Martijn J Mulder, Eric-Jan Wagenmakers, Roger Ratcliff, Wouter Boekel, Birte U Forstmann. J Neurosci 2012
207
15

The WU-Minn Human Connectome Project: an overview.
David C Van Essen, Stephen M Smith, Deanna M Barch, Timothy E J Behrens, Essa Yacoub, Kamil Ugurbil. Neuroimage 2013
15

From salience to saccades: multiple-alternative gated stochastic accumulator model of visual search.
Braden A Purcell, Jeffrey D Schall, Gordon D Logan, Thomas J Palmeri. J Neurosci 2012
111
15

fMRI and EEG predictors of dynamic decision parameters during human reinforcement learning.
Michael J Frank, Chris Gagne, Erika Nyhus, Sean Masters, Thomas V Wiecki, James F Cavanagh, David Badre. J Neurosci 2015
126
15

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
15

Dynamic reconfiguration of the default mode network during narrative comprehension.
Erez Simony, Christopher J Honey, Janice Chen, Olga Lositsky, Yaara Yeshurun, Ami Wiesel, Uri Hasson. Nat Commun 2016
251
15

Interpreting single trial data using groupwise regularisation.
Marcel van Gerven, Christian Hesse, Ole Jensen, Tom Heskes. Neuroimage 2009
24
10

Sparse logistic regression for whole-brain classification of fMRI data.
Srikanth Ryali, Kaustubh Supekar, Daniel A Abrams, Vinod Menon. Neuroimage 2010
120
10

Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior.
Marcel A J van Gerven, Botond Cseke, Floris P de Lange, Tom Heskes. Neuroimage 2010
31
10

Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review.
Anjali Krishnan, Lynne J Williams, Anthony Randal McIntosh, Hervé Abdi. Neuroimage 2011
611
10

Information-based functional brain mapping.
Nikolaus Kriegeskorte, Rainer Goebel, Peter Bandettini. Proc Natl Acad Sci U S A 2006
10

A Bayesian mixture approach to modeling spatial activation patterns in multisite fMRI data.
Seyoung Kim, Padhraic Smyth, Hal Stern. IEEE Trans Med Imaging 2010
11
18

A unified statistical approach for determining significant signals in images of cerebral activation.
K J Worsley, S Marrett, P Neelin, A C Vandal, K J Friston, A C Evans. Hum Brain Mapp 1996
10

Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging.
T E J Behrens, H Johansen-Berg, M W Woolrich, S M Smith, C A M Wheeler-Kingshott, P A Boulby, G J Barker, E L Sillery, K Sheehan, O Ciccarelli,[...]. Nat Neurosci 2003
10

Getting more from accuracy and response time data: methods for fitting the linear ballistic accumulator.
Chris Donkin, Lee Averell, Scott Brown, Andrew Heathcote. Behav Res Methods 2009
50
10

Neural imaging to track mental states while using an intelligent tutoring system.
John R Anderson, Shawn Betts, Jennifer L Ferris, Jon M Fincham. Proc Natl Acad Sci U S A 2010
22
10

A role for neural integrators in perceptual decision making.
Mark E Mazurek, Jamie D Roitman, Jochen Ditterich, Michael N Shadlen. Cereb Cortex 2003
407
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.