A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity



Representational dynamics of object vision: the first 1000 ms.
Thomas Carlson, David A Tovar, Arjen Alink, Nikolaus Kriegeskorte. J Vis 2013
154
50

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

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.
Krzysztof J Gorgolewski, Tibor Auer, Vince D Calhoun, R Cameron Craddock, Samir Das, Eugene P Duff, Guillaume Flandin, Satrajit S Ghosh, Tristan Glatard, Yaroslav O Halchenko,[...]. Sci Data 2016
387
50

Untangling featural and conceptual object representations.
Tijl Grootswagers, Amanda K Robinson, Sophia M Shatek, Thomas A Carlson. Neuroimage 2019
7
50

EEG-BIDS, an extension to the brain imaging data structure for electroencephalography.
Cyril R Pernet, Stefan Appelhoff, Krzysztof J Gorgolewski, Guillaume Flandin, Christophe Phillips, Arnaud Delorme, Robert Oostenveld. Sci Data 2019
75
50

An ecologically motivated image dataset for deep learning yields better models of human vision.
Johannes Mehrer, Courtney J Spoerer, Emer C Jones, Nikolaus Kriegeskorte, Tim C Kietzmann. Proc Natl Acad Sci U S A 2021
8
50

THINGS: A database of 1,854 object concepts and more than 26,000 naturalistic object images.
Martin N Hebart, Adam H Dickter, Alexis Kidder, Wan Y Kwok, Anna Corriveau, Caitlin Van Wicklin, Chris I Baker. PLoS One 2019
21
50

A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification.
Blair Kaneshiro, Marcos Perreau Guimaraes, Hyung-Suk Kim, Anthony M Norcia, Patrick Suppes. PLoS One 2015
42
50

Resolving human object recognition in space and time.
Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva. Nat Neurosci 2014
295
50

Time will tell: Object categorization and emotional engagement during processing of degraded natural scenes.
Maurizio Codispoti, Antonia Micucci, Andrea De Cesarei. Psychophysiology 2020
3
33


Modulation of early ERPs by accurate categorization of objects in scenes.
Andrea De Cesarei, Ilaria A Peverato, Serena Mastria, Maurizio Codispoti. J Vis 2015
7
25

Higher order texture statistics impair contrast boundary segmentation.
Elizabeth Arsenault, Ahmad Yoonessi, Curtis Baker. J Vis 2011
11
25


Contributions of low- and high-level properties to neural processing of visual scenes in the human brain.
Iris I A Groen, Edward H Silson, Chris I Baker. Philos Trans R Soc Lond B Biol Sci 2017
59
25


Letter perception emerges from unsupervised deep learning and recycling of natural image features.
Alberto Testolin, Ivilin Stoianov, Marco Zorzi. Nat Hum Behav 2017
18
25

Rapid visual categorization of natural scene contexts with equalized amplitude spectrum and increasing phase noise.
Olivier R Joubert, Guillaume A Rousselet, Michèle Fabre-Thorpe, Denis Fize. J Vis 2009
52
25




Redundancy reduction revisited.
H Barlow. Network 2001
261
25

Statistics of natural image categories.
Antonio Torralba, Aude Oliva. Network 2003
292
25

The evolution of vision.
Walter J Gehring. Wiley Interdiscip Rev Dev Biol 2014
66
25



Color and spatial structure in natural scenes.
G J Burton, I R Moorhead. Appl Opt 1987
231
25

Speed of processing in the human visual system.
S Thorpe, D Fize, C Marlot. Nature 1996
25

OpenSesame: an open-source, graphical experiment builder for the social sciences.
Sebastiaan Mathôt, Daniel Schreij, Jan Theeuwes. Behav Res Methods 2012
742
25

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
515
25

The categorization of natural scenes: brain attention networks revealed by dense sensor ERPs.
Maurizio Codispoti, Vera Ferrari, Markus Junghöfer, Harald T Schupp. Neuroimage 2006
71
25

Retinal waves and visual system development.
R O Wong. Annu Rev Neurosci 1999
356
25

Selectively attending to natural scenes after alcohol consumption: an ERP analysis.
Andrea De Cesarei, Maurizio Codispoti, Harald T Schupp, Luciano Stegagno. Biol Psychol 2006
14
25


Distinct spatial frequency sensitivities for processing faces and emotional expressions.
Patrik Vuilleumier, Jorge L Armony, Jon Driver, Raymond J Dolan. Nat Neurosci 2003
730
25



Brain responses strongly correlate with Weibull image statistics when processing natural images.
H Steven Scholte, Sennay Ghebreab, Lourens Waldorp, Arnold W M Smeulders, Victor A F Lamme. J Vis 2009
58
25



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
199
25

Brain areas involved in rapid categorization of natural images: an event-related fMRI study.
D Fize, K Boulanouar, Y Chatel, J P Ranjeva, M Fabre-Thorpe, S Thorpe. Neuroimage 2000
37
25


Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition.
Courtney J Spoerer, Patrick McClure, Nikolaus Kriegeskorte. Front Psychol 2017
51
25


Understanding natural scenes: Contributions of image statistics.
Andrea De Cesarei, Geoffrey R Loftus, Serena Mastria, Maurizio Codispoti. Neurosci Biobehav Rev 2017
12
25

A natural approach to studying vision.
Gidon Felsen, Yang Dan. Nat Neurosci 2005
160
25

Early spatial frequency processing of natural images: an ERP study.
Andrea De Cesarei, Serena Mastria, Maurizio Codispoti. PLoS One 2013
20
25

Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
25


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.