A citation-based method for searching scientific literature

Marcie L King, Iris I A Groen, Adam Steel, Dwight J Kravitz, Chris I Baker. Neuroimage 2019
Times Cited: 10







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



Times Cited
  Times     Co-cited
Similarity


Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
60

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
359
60

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
50

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
649
50

The Ventral Visual Pathway Represents Animal Appearance over Animacy, Unlike Human Behavior and Deep Neural Networks.
Stefania Bracci, J Brendan Ritchie, Ioannis Kalfas, Hans P Op de Beeck. J Neurosci 2019
17
50

A toolbox for representational similarity analysis.
Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
310
40

The spatiotemporal neural dynamics underlying perceived similarity for real-world objects.
Radoslaw M Cichy, Nikolaus Kriegeskorte, Kamila M Jozwik, Jasper J F van den Bosch, Ian Charest. Neuroimage 2019
16
40


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
480
40

Deep Learning: The Good, the Bad, and the Ugly.
Thomas Serre. Annu Rev Vis Sci 2019
32
40

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
82
40


Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.
Kamila M Jozwik, Nikolaus Kriegeskorte, Katherine R Storrs, Marieke Mur. Front Psychol 2017
35
40

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
40

Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.
R Malach, J B Reppas, R R Benson, K K Kwong, H Jiang, W A Kennedy, P J Ledden, T J Brady, B R Rosen, R B Tootell. Proc Natl Acad Sci U S A 1995
30

Deep convolutional networks do not classify based on global object shape.
Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J Kellman. PLoS Comput Biol 2018
38
30

BOLD5000, a public fMRI dataset while viewing 5000 visual images.
Nadine Chang, John A Pyles, Austin Marcus, Abhinav Gupta, Michael J Tarr, Elissa M Aminoff. Sci Data 2019
17
30

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.
Kohitij Kar, Jonas Kubilius, Kailyn Schmidt, Elias B Issa, James J DiCarlo. Nat Neurosci 2019
76
30

Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
Jonas Kubilius, Stefania Bracci, Hans P Op de Beeck. PLoS Comput Biol 2016
80
30

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
351
30

Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
68
30




Representational dynamics of object vision: the first 1000 ms.
Thomas Carlson, David A Tovar, Arjen Alink, Nikolaus Kriegeskorte. J Vis 2013
146
30

Representational geometry: integrating cognition, computation, and the brain.
Nikolaus Kriegeskorte, Rogier A Kievit. Trends Cogn Sci 2013
296
30


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
186
30

Resolving human object recognition in space and time.
Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva. Nat Neurosci 2014
280
30

Doctor, Teacher, and Stethoscope: Neural Representation of Different Types of Semantic Relations.
Yangwen Xu, Xiaosha Wang, Xiaoying Wang, Weiwei Men, Jia-Hong Gao, Yanchao Bi. J Neurosci 2018
14
20

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
271
20


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
20

Deep image reconstruction from human brain activity.
Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani. PLoS Comput Biol 2019
21
20

Neural network models and deep learning.
Nikolaus Kriegeskorte, Tal Golan. Curr Biol 2019
42
20


Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.
Joshua C Peterson, Joshua T Abbott, Thomas L Griffiths. Cogn Sci 2018
21
20

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
365
20

Beyond core object recognition: Recurrent processes account for object recognition under occlusion.
Karim Rajaei, Yalda Mohsenzadeh, Reza Ebrahimpour, Seyed-Mahdi Khaligh-Razavi. PLoS Comput Biol 2019
15
20

Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction.
Eiji Watanabe, Akiyoshi Kitaoka, Kiwako Sakamoto, Masaki Yasugi, Kenta Tanaka. Front Psychol 2018
14
20




Explicit information for category-orthogonal object properties increases along the ventral stream.
Ha Hong, Daniel L K Yamins, Najib J Majaj, James J DiCarlo. Nat Neurosci 2016
120
20

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
123
20

Using human brain activity to guide machine learning.
Ruth C Fong, Walter J Scheirer, David D Cox. Sci Rep 2018
13
20



Shape-independent object category responses revealed by MEG and fMRI decoding.
Daniel Kaiser, Damiano C Azzalini, Marius V Peelen. J Neurophysiol 2016
36
20

Category selectivity in human visual cortex: Beyond visual object recognition.
Marius V Peelen, Paul E Downing. Neuropsychologia 2017
36
20


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.