A citation-based method for searching scientific literature

Junxing Shi, Haiguang Wen, Yizhen Zhang, Kuan Han, Zhongming Liu. Hum Brain Mapp 2018
Times Cited: 15







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



Times Cited
  Times     Co-cited
Similarity


Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
339
66



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
53

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
48
46

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
46

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
307
46

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
46


Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
352
40

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
40

Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
527
40

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



Intersubject synchronization of cortical activity during natural vision.
Uri Hasson, Yuval Nir, Ifat Levy, Galit Fuhrmann, Rafael Malach. Science 2004
707
33

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

Slow cortical dynamics and the accumulation of information over long timescales.
Christopher J Honey, Thomas Thesen, Tobias H Donner, Lauren J Silbert, Chad E Carlson, Orrin Devinsky, Werner K Doyle, Nava Rubin, David J Heeger, Uri Hasson. Neuron 2012
207
26

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
26

Hierarchical process memory: memory as an integral component of information processing.
Uri Hasson, Janice Chen, Christopher J Honey. Trends Cogn Sci 2015
197
26

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
26

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


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
26

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
26

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
26



A deep learning framework for neuroscience.
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
112
26

Compressive spatial summation in human visual cortex.
Kendrick N Kay, Jonathan Winawer, Aviv Mezer, Brian A Wandell. J Neurophysiol 2013
121
20

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
25

A hierarchy of temporal receptive windows in human cortex.
Uri Hasson, Eunice Yang, Ignacio Vallines, David J Heeger, Nava Rubin. J Neurosci 2008
332
20


The WU-Minn Human Connectome Project: an overview.
David C Van Essen, Stephen M Smith, Deanna M Barch, Timothy E J Behrens, Essa Yacoub, Kamil Ugurbil. Neuroimage 2013
20

Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective.
Mo Chen, Junwei Han, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu. Brain Imaging Behav 2014
12
25

Mapping white-matter functional organization at rest and during naturalistic visual perception.
Lauren Marussich, Kun-Han Lu, Haiguang Wen, Zhongming Liu. Neuroimage 2017
53
20

Spontaneously Emerging Patterns in Human Visual Cortex Reflect Responses to Naturalistic Sensory Stimuli.
Meytal Wilf, Francesca Strappini, Tal Golan, Avital Hahamy, Michal Harel, Rafael Malach. Cereb Cortex 2017
22
20

Tracking brain arousal fluctuations with fMRI.
Catie Chang, David A Leopold, Marieke Louise Schölvinck, Hendrik Mandelkow, Dante Picchioni, Xiao Liu, Frank Q Ye, Janita N Turchi, Jeff H Duyn. Proc Natl Acad Sci U S A 2016
137
20

Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
907
20

Do we know what the early visual system does?
Matteo Carandini, Jonathan B Demb, Valerio Mante, David J Tolhurst, Yang Dan, Bruno A Olshausen, Jack L Gallant, Nicole C Rust. J Neurosci 2005
279
20

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
20

Deep convolutional models improve predictions of macaque V1 responses to natural images.
Santiago A Cadena, George H Denfield, Edgar Y Walker, Leon A Gatys, Andreas S Tolias, Matthias Bethge, Alexander S Ecker. PLoS Comput Biol 2019
43
20

A toolbox for representational similarity analysis.
Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
304
13

State-dependent computations: spatiotemporal processing in cortical networks.
Dean V Buonomano, Wolfgang Maass. Nat Rev Neurosci 2009
409
13

Transferring and generalizing deep-learning-based neural encoding models across subjects.
Haiguang Wen, Junxing Shi, Wei Chen, Zhongming Liu. Neuroimage 2018
7
28

LSTM: A Search Space Odyssey.
Klaus Greff, Rupesh K Srivastava, Jan Koutnik, Bas R Steunebrink, Jurgen Schmidhuber. IEEE Trans Neural Netw Learn Syst 2017
218
13

The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
13

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
168
13




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.