A citation-based method for searching scientific literature

Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu. Cereb Cortex 2018
Times Cited: 48







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



Times Cited
  Times     Co-cited
Similarity



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
468
43

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
339
41

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
352
39


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
178
33

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
29

Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
67
27

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
269
27


Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
527
25



Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
307
20

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
193
20


Bayesian reconstruction of natural images from human brain activity.
Thomas Naselaris, Ryan J Prenger, Kendrick N Kay, Michael Oliver, Jack L Gallant. Neuron 2009
221
18

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

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
16

Intersubject synchronization of cortical activity during natural vision.
Uri Hasson, Yuval Nir, Ifat Levy, Galit Fuhrmann, Rafael Malach. Science 2004
707
16

Visual image reconstruction from human brain activity using a combination of multiscale local image decoders.
Yoichi Miyawaki, Hajime Uchida, Okito Yamashita, Masa-aki Sato, Yusuke Morito, Hiroki C Tanabe, Norihiro Sadato, Yukiyasu Kamitani. Neuron 2008
192
16

A toolbox for representational similarity analysis.
Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
304
14

Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision.
Junxing Shi, Haiguang Wen, Yizhen Zhang, Kuan Han, Zhongming Liu. Hum Brain Mapp 2018
15
46

Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
14

Deep image reconstruction from human brain activity.
Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani. PLoS Comput Biol 2019
20
35

Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex.
Kuan Han, Haiguang Wen, Junxing Shi, Kun-Han Lu, Yizhen Zhang, Di Fu, Zhongming Liu. Neuroimage 2019
21
33

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
268
12

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
12



Neural decoding of visual imagery during sleep.
T Horikawa, M Tamaki, Y Miyawaki, Y Kamitani. Science 2013
172
10

Compressive spatial summation in human visual cortex.
Kendrick N Kay, Jonathan Winawer, Aviv Mezer, Brian A Wandell. J Neurophysiol 2013
121
10

Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models.
Seyed-Mahdi Khaligh-Razavi, Linda Henriksson, Kendrick Kay, Nikolaus Kriegeskorte. J Math Psychol 2017
30
16

A hierarchy of temporal receptive windows in human cortex.
Uri Hasson, Eunice Yang, Ignacio Vallines, David J Heeger, Nava Rubin. J Neurosci 2008
332
10


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
360
10


Object-specific semantic coding in human perirhinal cortex.
Alex Clarke, Lorraine K Tyler. J Neurosci 2014
122
10

Convolutional neural network-based encoding and decoding of visual object recognition in space and time.
K Seeliger, M Fritsche, U Güçlü, S Schoenmakers, J-M Schoffelen, S E Bosch, M A J van Gerven. Neuroimage 2018
30
16

Inverse retinotopy: inferring the visual content of images from brain activation patterns.
Bertrand Thirion, Edouard Duchesnay, Edward Hubbard, Jessica Dubois, Jean-Baptiste Poline, Denis Lebihan, Stanislas Dehaene. Neuroimage 2006
148
10


Generative adversarial networks for reconstructing natural images from brain activity.
K Seeliger, U Güçlü, L Ambrogioni, Y Güçlütürk, M A J van Gerven. Neuroimage 2018
15
33

Interpreting encoding and decoding models.
Nikolaus Kriegeskorte, Pamela K Douglas. Curr Opin Neurobiol 2019
35
14

Representational geometry: integrating cognition, computation, and the brain.
Nikolaus Kriegeskorte, Rogier A Kievit. Trends Cogn Sci 2013
296
10

Influences of High-Level Features, Gaze, and Scene Transitions on the Reliability of BOLD Responses to Natural Movie Stimuli.
Kun-Han Lu, Shao-Chin Hung, Haiguang Wen, Lauren Marussich, Zhongming Liu. PLoS One 2016
12
33

Reliability of cortical activity during natural stimulation.
Uri Hasson, Rafael Malach, David J Heeger. Trends Cogn Sci 2010
283
8

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
182
8

Increasing the reliability of data analysis of functional magnetic resonance imaging by applying a new blockwise permutation method.
Daniela Adolf, Snezhana Weston, Sebastian Baecke, Michael Luchtmann, Johannes Bernarding, Siegfried Kropf. Front Neuroinform 2014
12
33




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.