A citation-based method for searching scientific literature

Nikolaus Kriegeskorte, Rogier A Kievit. Trends Cogn Sci 2013
Times Cited: 268







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



Times Cited
  Times     Co-cited
Similarity


Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
50

Matching categorical object representations in inferior temporal cortex of man and monkey.
Nikolaus Kriegeskorte, Marieke Mur, Douglas A Ruff, Roozbeh Kiani, Jerzy Bodurka, Hossein Esteky, Keiji Tanaka, Peter A Bandettini. Neuron 2008
614
26

A toolbox for representational similarity analysis.
Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
275
25

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
24

Resolving human object recognition in space and time.
Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva. Nat Neurosci 2014
253
23

Information-based functional brain mapping.
Nikolaus Kriegeskorte, Rainer Goebel, Peter Bandettini. Proc Natl Acad Sci U S A 2006
22

Reliability of dissimilarity measures for multi-voxel pattern analysis.
Alexander Walther, Hamed Nili, Naveed Ejaz, Arjen Alink, Nikolaus Kriegeskorte, Jörn Diedrichsen. Neuroimage 2016
129
19

Decoding neural representational spaces using multivariate pattern analysis.
James V Haxby, Andrew C Connolly, J Swaroop Guntupalli. Annu Rev Neurosci 2014
255
19

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
309
17

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
158
15

Decoding the visual and subjective contents of the human brain.
Yukiyasu Kamitani, Frank Tong. Nat Neurosci 2005
985
14

Representational dynamics of object vision: the first 1000 ms.
Thomas Carlson, David A Tovar, Arjen Alink, Nikolaus Kriegeskorte. J Vis 2013
138
13

The representation of biological classes in the human brain.
Andrew C Connolly, J Swaroop Guntupalli, Jason Gors, Michael Hanke, Yaroslav O Halchenko, Yu-Chien Wu, Hervé Abdi, James V Haxby. J Neurosci 2012
179
12

Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
414
12

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
12




Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva. Sci Rep 2016
155
11



Nonparametric statistical testing of EEG- and MEG-data.
Eric Maris, Robert Oostenveld. J Neurosci Methods 2007
10


A common, high-dimensional model of the representational space in human ventral temporal cortex.
James V Haxby, J Swaroop Guntupalli, Andrew C Connolly, Yaroslav O Halchenko, Bryan R Conroy, M Ida Gobbini, Michael Hanke, Peter J Ramadge. Neuron 2011
255
10

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
290
10

Comparison of multivariate classifiers and response normalizations for pattern-information fMRI.
Masaya Misaki, Youn Kim, Peter A Bandettini, Nikolaus Kriegeskorte. Neuroimage 2010
252
10


How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
512
10




Intersubject synchronization of cortical activity during natural vision.
Uri Hasson, Yuval Nir, Ifat Levy, Galit Fuhrmann, Rafael Malach. Science 2004
673
9

The dynamics of invariant object recognition in the human visual system.
Leyla Isik, Ethan M Meyers, Joel Z Leibo, Tomaso Poggio. J Neurophysiol 2014
107
8

Machine learning classifiers and fMRI: a tutorial overview.
Francisco Pereira, Tom Mitchell, Matthew Botvinick. Neuroimage 2009
814
8

Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.
R Malach, J B Reppas, R R Benson, K K Kwong, H Jiang, W A Kennedy, P J Ledden, T J Brady, B R Rosen, R B Tootell. Proc Natl Acad Sci U S A 1995
8

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
8


Only some spatial patterns of fMRI response are read out in task performance.
Mark A Williams, Sabin Dang, Nancy G Kanwisher. Nat Neurosci 2007
124
8

Revealing representational content with pattern-information fMRI--an introductory guide.
Marieke Mur, Peter A Bandettini, Nikolaus Kriegeskorte. Soc Cogn Affect Neurosci 2009
223
8

Object category structure in response patterns of neuronal population in monkey inferior temporal cortex.
Roozbeh Kiani, Hossein Esteky, Koorosh Mirpour, Keiji Tanaka. J Neurophysiol 2007
259
8


The representational dynamics of task and object processing in humans.
Martin N Hebart, Brett B Bankson, Assaf Harel, Chris I Baker, Radoslaw M Cichy. Elife 2018
41
19

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
296
8

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
335
8

Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.
Rishi Rajalingham, Elias B Issa, Pouya Bashivan, Kohitij Kar, Kailyn Schmidt, James J DiCarlo. J Neurosci 2018
66
12

Natural speech reveals the semantic maps that tile human cerebral cortex.
Alexander G Huth, Wendy A de Heer, Thomas L Griffiths, Frédéric E Theunissen, Jack L Gallant. Nature 2016
319
8

Predicting human brain activity associated with the meanings of nouns.
Tom M Mitchell, Svetlana V Shinkareva, Andrew Carlson, Kai-Min Chang, Vicente L Malave, Robert A Mason, Marcel Adam Just. Science 2008
403
8

Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG.
Susan G Wardle, Nikolaus Kriegeskorte, Tijl Grootswagers, Seyed-Mahdi Khaligh-Razavi, Thomas A Carlson. Neuroimage 2016
45
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.