A citation-based method for searching scientific literature

Shared spatiotemporal category representations in biological and artificial deep neural networks.
Michelle R Greene, Bruce C Hansen. PLoS Comput Biol 2018
Times Cited: 15






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



Times Cited
  Times     Co-cited
Similarity


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
199
11
73

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
388
8
53

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream.
Umut Güçlü, Marcel A J van Gerven. J Neurosci 2015
282
7
46

Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
1188
6
40

Resolving human object recognition in space and time.
Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva. Nat Neurosci 2014
295
6
40

A toolbox for representational similarity analysis.
Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
325
6
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
515
5
33

Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks.
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Aude Oliva. Neuroimage 2017
66
5
33

Speed of processing in the human visual system.
S Thorpe, D Fize, C Marlot. Nature 1996
1671
5
33

Places: A 10 Million Image Database for Scene Recognition.
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, Antonio Torralba. IEEE Trans Pattern Anal Mach Intell 2018
78
4
26

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
10295
4
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
288
4
26

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
379
4
26

Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
Jonas Kubilius, Stefania Bracci, Hans P Op de Beeck. PLoS Comput Biol 2016
90
4
26

Visual information representation and rapid-scene categorization are simultaneous across cortex: An MEG study.
Pavan Ramkumar, Bruce C Hansen, Sebastian Pannasch, Lester C Loschky. Neuroimage 2016
12
4
33

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Arnaud Delorme, Scott Makeig. J Neurosci Methods 2004
10038
4
26

Visual objects in context.
Moshe Bar. Nat Rev Neurosci 2004
741
3
20

Computational modelling of visual attention.
L Itti, C Koch. Nat Rev Neurosci 2001
1407
3
20

Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing.
Nikolaus Kriegeskorte. Annu Rev Vis Sci 2015
262
3
20

Computational mechanisms underlying cortical responses to the affordance properties of visual scenes.
Michael F Bonner, Russell A Epstein. PLoS Comput Biol 2018
34
3
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
291
3
20

A horizontal bias in human visual processing of orientation and its correspondence to the structural components of natural scenes.
Bruce C Hansen, Edward A Essock. J Vis 2004
93
3
20

From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category.
Iris I A Groen, Sennay Ghebreab, Hielke Prins, Victor A F Lamme, H Steven Scholte. J Neurosci 2013
54
3
20

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
580
3
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
199
3
20

Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
78
3
20

Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.
Antonio Torralba, Aude Oliva, Monica S Castelhano, John M Henderson. Psychol Rev 2006
617
3
20

The time course of visual processing: from early perception to decision-making.
R VanRullen, S J Thorpe. J Cogn Neurosci 2001
404
3
20

The briefest of glances: the time course of natural scene understanding.
Michelle R Greene, Aude Oliva. Psychol Sci 2009
213
3
20

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
673
3
20

Spatially pooled contrast responses predict neural and perceptual similarity of naturalistic image categories.
Iris I A Groen, Sennay Ghebreab, Victor A F Lamme, H Steven Scholte. PLoS Comput Biol 2012
36
3
20

Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features.
Tomoyasu Horikawa, Yukiyasu Kamitani. Front Comput Neurosci 2017
19
2
13

Increasingly complex representations of natural movies across the dorsal stream are shared between subjects.
Umut Güçlü, Marcel A J van Gerven. Neuroimage 2017
45
2
13

State-of-the-art in visual attention modeling.
Ali Borji, Laurent Itti. IEEE Trans Pattern Anal Mach Intell 2013
249
2
13

A saliency-based search mechanism for overt and covert shifts of visual attention.
L Itti, C Koch. Vision Res 2000
1100
2
13

Shifts in selective visual attention: towards the underlying neural circuitry.
C Koch, S Ullman. Hum Neurobiol 1985
1020
2
13

The fusiform face area: a module in human extrastriate cortex specialized for face perception.
N Kanwisher, J McDermott, M M Chun. J Neurosci 1997
4256
2
13

Generic decoding of seen and imagined objects using hierarchical visual features.
Tomoyasu Horikawa, Yukiyasu Kamitani. Nat Commun 2017
86
2
13

Building machines that learn and think like people.
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman. Behav Brain Sci 2017
188
2
13

Components of bottom-up gaze allocation in natural images.
Robert J Peters, Asha Iyer, Laurent Itti, Christof Koch. Vision Res 2005
181
2
13

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
40
2
13

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
8137
2
13

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
88
2
13

Deep learning-Using machine learning to study biological vision.
Najib J Majaj, Denis G Pelli. J Vis 2018
12
2
16

Cognition does not affect perception: Evaluating the evidence for "top-down" effects.
Chaz Firestone, Brian J Scholl. Behav Brain Sci 2016
287
2
13

Relations between the statistics of natural images and the response properties of cortical cells.
D J Field. J Opt Soc Am A 1987
1087
2
13

Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys.
Shiming Tang, Yimeng Zhang, Zhihao Li, Ming Li, Fang Liu, Hongfei Jiang, Tai Sing Lee. Elife 2018
22
2
13

The orientation and direction selectivity of cells in macaque visual cortex.
R L De Valois, E W Yund, N Hepler. Vision Res 1982
491
2
13

Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
543
2
13

Spatial frequency selectivity of cells in macaque visual cortex.
R L De Valois, D G Albrecht, L G Thorell. Vision Res 1982
932
2
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.

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