A citation-based method for searching scientific literature

Iris I A Groen, Edward H Silson, Chris I Baker. Philos Trans R Soc Lond B Biol Sci 2017
Times Cited: 45







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



Times Cited
  Times     Co-cited
Similarity



The "parahippocampal place area" responds preferentially to high spatial frequencies in humans and monkeys.
Reza Rajimehr, Kathryn J Devaney, Natalia Y Bilenko, Jeremy C Young, Roger B H Tootell. PLoS Biol 2011
126
31

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
31



Making Sense of Real-World Scenes.
George L Malcolm, Iris I A Groen, Chris I Baker. Trends Cogn Sci 2016
52
28

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
59
26



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
164
26

Thinking outside the box: rectilinear shapes selectively activate scene-selective cortex.
Shahin Nasr, Cesar E Echavarria, Roger B H Tootell. J Neurosci 2014
75
24

The occipital place area is causally and selectively involved in scene perception.
Daniel D Dilks, Joshua B Julian, Alexander M Paunov, Nancy Kanwisher. J Neurosci 2013
158
24


Parametric Coding of the Size and Clutter of Natural Scenes in the Human Brain.
Soojin Park, Talia Konkle, Aude Oliva. Cereb Cortex 2015
52
24

Natural scene categories revealed in distributed patterns of activity in the human brain.
Dirk B Walther, Eamon Caddigan, Li Fei-Fei, Diane M Beck. J Neurosci 2009
187
24

A Retinotopic Basis for the Division of High-Level Scene Processing between Lateral and Ventral Human Occipitotemporal Cortex.
Edward Harry Silson, Annie Wai-Yiu Chan, Richard Craig Reynolds, Dwight Jacob Kravitz, Chris Ian Baker. J Neurosci 2015
61
20

Statistics of natural image categories.
Antonio Torralba, Aude Oliva. Network 2003
287
20

Center-periphery organization of human object areas.
I Levy, U Hasson, G Avidan, T Hendler, R Malach. Nat Neurosci 2001
429
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
50
20


The time course of natural scene perception with reduced attention.
Iris I A Groen, Sennay Ghebreab, Victor A F Lamme, H Steven Scholte. J Neurophysiol 2016
21
42


Patterns of response to visual scenes are linked to the low-level properties of the image.
David M Watson, Tom Hartley, Timothy J Andrews. Neuroimage 2014
40
22

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
436
20

A cardinal orientation bias in scene-selective visual cortex.
Shahin Nasr, Roger B H Tootell. J Neurosci 2012
53
20

A toolbox for representational similarity analysis.
Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
285
20

Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior.
Iris Ia Groen, Michelle R Greene, Christopher Baldassano, Li Fei-Fei, Diane M Beck, Chris I Baker. Elife 2018
40
22

Brain responses strongly correlate with Weibull image statistics when processing natural images.
H Steven Scholte, Sennay Ghebreab, Lourens Waldorp, Arnold W M Smeulders, Victor A F Lamme. J Vis 2009
56
17

Deconstructing visual scenes in cortex: gradients of object and spatial layout information.
Assaf Harel, Dwight J Kravitz, Chris I Baker. Cereb Cortex 2013
83
17

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
35
22

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
17

The ventral visual pathway: an expanded neural framework for the processing of object quality.
Dwight J Kravitz, Kadharbatcha S Saleem, Chris I Baker, Leslie G Ungerleider, Mortimer Mishkin. Trends Cogn Sci 2013
448
17


Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
17


High-level scene perception.
J M Henderson, A Hollingworth. Annu Rev Psychol 1999
373
15


Simple line drawings suffice for functional MRI decoding of natural scene categories.
Dirk B Walther, Barry Chai, Eamon Caddigan, Diane M Beck, Li Fei-Fei. Proc Natl Acad Sci U S A 2011
93
15

Visual scenes are categorized by function.
Michelle R Greene, Christopher Baldassano, Andre Esteva, Diane M Beck, Li Fei-Fei. J Exp Psychol Gen 2016
29
24

Neural representation of scene boundaries.
Katrina Ferrara, Soojin Park. Neuropsychologia 2016
20
35


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
626
15


Speed of processing in the human visual system.
S Thorpe, D Fize, C Marlot. Nature 1996
13



Scene-Selectivity and Retinotopy in Medial Parietal Cortex.
Edward H Silson, Adam D Steel, Chris I Baker. Front Hum Neurosci 2016
36
16



Eccentricity bias as an organizing principle for human high-order object areas.
Uri Hasson, Ifat Levy, Marlene Behrmann, Talma Hendler, Rafael Malach. Neuron 2002
321
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.