A citation-based method for searching scientific literature

Kendrick N Kay, Jonathan Winawer, Aviv Mezer, Brian A Wandell. J Neurophysiol 2013
Times Cited: 131







List of co-cited articles
1033 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Population receptive field estimates in human visual cortex.
Serge O Dumoulin, Brian A Wandell. Neuroimage 2008
613
71

Computational neuroimaging and population receptive fields.
Brian A Wandell, Jonathan Winawer. Trends Cogn Sci 2015
92
31

Attention reduces spatial uncertainty in human ventral temporal cortex.
Kendrick N Kay, Kevin S Weiner, Kalanit Grill-Spector. Curr Biol 2015
95
27

Visual field maps in human cortex.
Brian A Wandell, Serge O Dumoulin, Alyssa A Brewer. Neuron 2007
689
26

Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
551
24

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
24

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
336
20

Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging.
M I Sereno, A M Dale, J B Reppas, K K Kwong, J W Belliveau, T J Brady, B R Rosen, R B Tootell. Science 1995
20

Probabilistic Maps of Visual Topography in Human Cortex.
Liang Wang, Ryan E B Mruczek, Michael J Arcaro, Sabine Kastner. Cereb Cortex 2015
267
19


The Human Connectome Project 7 Tesla retinotopy dataset: Description and population receptive field analysis.
Noah C Benson, Keith W Jamison, Michael J Arcaro, An T Vu, Matthew F Glasser, Timothy S Coalson, David C Van Essen, Essa Yacoub, Kamil Ugurbil, Jonathan Winawer,[...]. J Vis 2018
58
31



Attraction of position preference by spatial attention throughout human visual cortex.
Barrie P Klein, Ben M Harvey, Serge O Dumoulin. Neuron 2014
91
18

Modeling center-surround configurations in population receptive fields using fMRI.
Wietske Zuiderbaan, Ben M Harvey, Serge O Dumoulin. J Vis 2012
89
19

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
546
16

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
684
16

A multi-modal parcellation of human cerebral cortex.
Matthew F Glasser, Timothy S Coalson, Emma C Robinson, Carl D Hacker, John Harwell, Essa Yacoub, Kamil Ugurbil, Jesper Andersson, Christian F Beckmann, Mark Jenkinson,[...]. Nature 2016
16


Bayesian analysis of retinotopic maps.
Noah C Benson, Jonathan Winawer. Elife 2018
35
42

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
402
14

A two-stage cascade model of BOLD responses in human visual cortex.
Kendrick N Kay, Jonathan Winawer, Ariel Rokem, Aviv Mezer, Brian A Wandell. PLoS Comput Biol 2013
40
35

Two retinotopic visual areas in human lateral occipital cortex.
Jonas Larsson, David J Heeger. J Neurosci 2006
396
14

Imaging retinotopic maps in the human brain.
Brian A Wandell, Jonathan Winawer. Vision Res 2011
203
14


Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex.
Jonathan Winawer, Kendrick N Kay, Brett L Foster, Andreas M Rauschecker, Josef Parvizi, Brian A Wandell. Curr Biol 2013
72
18



The minimal preprocessing pipelines for the Human Connectome Project.
Matthew F Glasser, Stamatios N Sotiropoulos, J Anthony Wilson, Timothy S Coalson, Bruce Fischl, Jesper L Andersson, Junqian Xu, Saad Jbabdi, Matthew Webster, Jonathan R Polimeni,[...]. Neuroimage 2013
13



Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI.
Steen Moeller, Essa Yacoub, Cheryl A Olman, Edward Auerbach, John Strupp, Noam Harel, Kâmil Uğurbil. Magn Reson Med 2010
862
12

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
403
12

Retinotopic organization of human ventral visual cortex.
Michael J Arcaro, Stephanie A McMains, Benjamin D Singer, Sabine Kastner. J Neurosci 2009
211
12

Visual field map clusters in human frontoparietal cortex.
Wayne E Mackey, Jonathan Winawer, Clayton E Curtis. Elife 2017
47
25

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
848
11

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
11


FreeSurfer.
Bruce Fischl. Neuroimage 2012
11



Mapping hV4 and ventral occipital cortex: the venous eclipse.
Jonathan Winawer, Hiroshi Horiguchi, Rory A Sayres, Kaoru Amano, Brian A Wandell. J Vis 2010
158
11


Reconstructing visual experiences from brain activity evoked by natural movies.
Shinji Nishimoto, An T Vu, Thomas Naselaris, Yuval Benjamini, Bin Yu, Jack L Gallant. Curr Biol 2011
301
10

Advances in functional and structural MR image analysis and implementation as FSL.
Stephen M Smith, Mark Jenkinson, Mark W Woolrich, Christian F Beckmann, Timothy E J Behrens, Heidi Johansen-Berg, Peter R Bannister, Marilena De Luca, Ivana Drobnjak, David E Flitney,[...]. Neuroimage 2004
10


Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
83
12

Evaluation of slice accelerations using multiband echo planar imaging at 3 T.
Junqian Xu, Steen Moeller, Edward J Auerbach, John Strupp, Stephen M Smith, David A Feinberg, Essa Yacoub, Kâmil Uğurbil. Neuroimage 2013
282
10

Temporal Processing Capacity in High-Level Visual Cortex Is Domain Specific.
Anthony Stigliani, Kevin S Weiner, Kalanit Grill-Spector. J Neurosci 2015
64
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.