A citation-based method for searching scientific literature

Nikolaus Kriegeskorte, Rogier A Kievit. Trends Cogn Sci 2013
Times Cited: 343







List of co-cited articles
753 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
46

A toolbox for representational similarity analysis.
Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
357
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
22

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
704
20

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
424
19

Information-based functional brain mapping.
Nikolaus Kriegeskorte, Rainer Goebel, Peter Bandettini. Proc Natl Acad Sci U S A 2006
18

Resolving human object recognition in space and time.
Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva. Nat Neurosci 2014
318
18

Decoding neural representational spaces using multivariate pattern analysis.
James V Haxby, Andrew C Connolly, J Swaroop Guntupalli. Annu Rev Neurosci 2014
321
15

Reliability of dissimilarity measures for multi-voxel pattern analysis.
Alexander Walther, Hamed Nili, Naveed Ejaz, Arjen Alink, Nikolaus Kriegeskorte, Jörn Diedrichsen. Neuroimage 2016
184
14

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
587
13


Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
430
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

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
244
10

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
230
10


Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses.
Jeanette A Mumford, Benjamin O Turner, F Gregory Ashby, Russell A Poldrack. Neuroimage 2012
329
9

Deep neural networks rival the representation of primate IT cortex for core visual object recognition.
Charles F Cadieu, Ha Hong, Daniel L K Yamins, Nicolas Pinto, Diego Ardila, Ethan A Solomon, Najib J Majaj, James J DiCarlo. PLoS Comput Biol 2014
220
9

Recurrence is required to capture the representational dynamics of the human visual system.
Tim C Kietzmann, Courtney J Spoerer, Lynn K A Sörensen, Radoslaw M Cichy, Olaf Hauk, Nikolaus Kriegeskorte. Proc Natl Acad Sci U S A 2019
101
9

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
9

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
201
9





The spatiotemporal neural dynamics underlying perceived similarity for real-world objects.
Radoslaw M Cichy, Nikolaus Kriegeskorte, Kamila M Jozwik, Jasper J F van den Bosch, Ian Charest. Neuroimage 2019
20
40

Human Object-Similarity Judgments Reflect and Transcend the Primate-IT Object Representation.
Marieke Mur, Mirjam Meys, Jerzy Bodurka, Rainer Goebel, Peter A Bandettini, Nikolaus Kriegeskorte. Front Psychol 2013
64
12

The neural and computational bases of semantic cognition.
Matthew A Lambon Ralph, Elizabeth Jefferies, Karalyn Patterson, Timothy T Rogers. Nat Rev Neurosci 2017
622
8


Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
398
8

Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
563
8

The importance of mixed selectivity in complex cognitive tasks.
Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
655
7

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
106
7

Representational dynamics of object vision: the first 1000 ms.
Thomas Carlson, David A Tovar, Arjen Alink, Nikolaus Kriegeskorte. J Vis 2013
165
7

Decoding the visual and subjective contents of the human brain.
Yukiyasu Kamitani, Frank Tong. Nat Neurosci 2005
7

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
630
7

Controlling low-level image properties: the SHINE toolbox.
Verena Willenbockel, Javid Sadr, Daniel Fiset, Greg O Horne, Frédéric Gosselin, James W Tanaka. Behav Res Methods 2010
558
7

Deep Learning: The Good, the Bad, and the Ugly.
Thomas Serre. Annu Rev Vis Sci 2019
49
14

Greater neural pattern similarity across repetitions is associated with better memory.
Gui Xue, Qi Dong, Chuansheng Chen, Zhonglin Lu, Jeanette A Mumford, Russell A Poldrack. Science 2010
186
7

Inverse MDS: Inferring Dissimilarity Structure from Multiple Item Arrangements.
Nikolaus Kriegeskorte, Marieke Mur. Front Psychol 2012
81
8

Machine learning for neuroimaging with scikit-learn.
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Front Neuroinform 2014
572
6

Episodic Memory and Beyond: The Hippocampus and Neocortex in Transformation.
Morris Moscovitch, Roberto Cabeza, Gordon Winocur, Lynn Nadel. Annu Rev Psychol 2016
426
6

Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior.
Iris Ia Groen, Michelle R Greene, Christopher Baldassano, Li Fei-Fei, Diane M Beck, Chris I Baker. Elife 2018
54
11

Comparison of multivariate classifiers and response normalizations for pattern-information fMRI.
Masaya Misaki, Youn Kim, Peter A Bandettini, Nikolaus Kriegeskorte. Neuroimage 2010
284
6


Only some spatial patterns of fMRI response are read out in task performance.
Mark A Williams, Sabin Dang, Nancy G Kanwisher. Nat Neurosci 2007
131
6


Deep Neural Networks as Scientific Models.
Radoslaw M Cichy, Daniel Kaiser. Trends Cogn Sci 2019
87
6

Nonparametric statistical testing of EEG- and MEG-data.
Eric Maris, Robert Oostenveld. J Neurosci Methods 2007
6

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.
Kohitij Kar, Jonas Kubilius, Kailyn Schmidt, Elias B Issa, James J DiCarlo. Nat Neurosci 2019
110
6


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.