A citation-based method for searching scientific literature

Tomoyasu Horikawa, Yukiyasu Kamitani. Nat Commun 2017
Times Cited: 89







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



Times Cited
  Times     Co-cited
Similarity



Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
396
38

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
530
34

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
392
29

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
206
28

Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
544
26

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
293
26

Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision.
Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu. Cereb Cortex 2018
60
38


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
202
23

Decoding the visual and subjective contents of the human brain.
Yukiyasu Kamitani, Frank Tong. Nat Neurosci 2005
23

Bayesian reconstruction of natural images from human brain activity.
Thomas Naselaris, Ryan J Prenger, Kendrick N Kay, Michael Oliver, Jack L Gallant. Neuron 2009
234
22

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
22

A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes.
Thomas Naselaris, Cheryl A Olman, Dustin E Stansbury, Kamil Ugurbil, Jack L Gallant. Neuroimage 2015
102
21

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
21

Deep image reconstruction from human brain activity.
Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani. PLoS Comput Biol 2019
32
56

Neural decoding of visual imagery during sleep.
T Horikawa, M Tamaki, Y Miyawaki, Y Kamitani. Science 2013
186
19

Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
79
21

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
333
19

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
203
19

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
155
17





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
14

Reading the mind's eye: decoding category information during mental imagery.
Leila Reddy, Naotsugu Tsuchiya, Thomas Serre. Neuroimage 2010
148
14

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
13

Shared representations for working memory and mental imagery in early visual cortex.
Anke Marit Albers, Peter Kok, Ivan Toni, H Chris Dijkerman, Floris P de Lange. Curr Biol 2013
214
13


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
21
57

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
12

fMRI of human visual cortex.
S A Engel, D E Rumelhart, B A Wandell, A T Lee, G H Glover, E J Chichilnisky, M N Shadlen. Nature 1994
672
11

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
11

Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
11

Neural portraits of perception: reconstructing face images from evoked brain activity.
Alan S Cowen, Marvin M Chun, Brice A Kuhl. Neuroimage 2014
37
27

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy.
Alexander J E Kell, Daniel L K Yamins, Erica N Shook, Sam V Norman-Haignere, Josh H McDermott. Neuron 2018
106
11


Decoding mental states from brain activity in humans.
John-Dylan Haynes, Geraint Rees. Nat Rev Neurosci 2006
912
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
402
10

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
593
10

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
680
10


Imagery and perception share cortical representations of content and location.
Radoslaw M Cichy, Jakob Heinzle, John-Dylan Haynes. Cereb Cortex 2012
120
10

Top-down activation of shape-specific population codes in visual cortex during mental imagery.
Mark Stokes, Russell Thompson, Rhodri Cusack, John Duncan. J Neurosci 2009
186
10

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
90
10

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
28
32

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
81
11

Cortical regions involved in perceiving object shape.
Z Kourtzi, N Kanwisher. J Neurosci 2000
457
8

Mental Imagery: Functional Mechanisms and Clinical Applications.
Joel Pearson, Thomas Naselaris, Emily A Holmes, Stephen M Kosslyn. Trends Cogn Sci 2015
250
8


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.