A citation-based method for searching scientific literature

Lisa M Pritchett, Richard F Murray. Proc Natl Acad Sci U S A 2015
Times Cited: 9







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



Times Cited
  Times     Co-cited
Similarity


Classification images: A review.
Richard F Murray. J Vis 2011
77
77



How inherently noisy is human sensory processing?
Peter Neri. Psychon Bull Rev 2010
37
44

Visual signal detection. IV. Observer inconsistency.
A E Burgess, B Colborne. J Opt Soc Am A 1988
202
44

Optimal methods for calculating classification images: weighted sums.
Richard F Murray, Patrick J Bennett, Allison B Sekuler. J Vis 2002
70
33

Signal but not noise changes with perceptual learning.
J Gold, P J Bennett, A B Sekuler. Nature 1999
226
33


Deriving behavioural receptive fields for visually completed contours.
J M Gold, R F Murray, P J Bennett, A B Sekuler. Curr Biol 2000
135
33



Estimation of internal noise using double passes: does it matter how the second pass is delivered?
Bashar Awwad Shiekh Hasan, Eva Joosten, Peter Neri. Vision Res 2012
12
33


Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
168
22

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
22



Bias and sensitivity in two-interval forced choice procedures: Tests of the difference model.
Yaffa Yeshurun, Marisa Carrasco, Laurence T Maloney. Vision Res 2008
72
22

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
276
22

How Noisy is Lexical Decision?
Kevin Diependaele, Marc Brysbaert, Peter Neri. Front Psychol 2012
18
22



Features and the 'primal sketch'.
Michael J Morgan. Vision Res 2011
21
22


The new statistics: why and how.
Geoff Cumming. Psychol Sci 2014
911
22

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
786
22

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
536
22

From circuits to behavior: a bridge too far?
Matteo Carandini. Nat Neurosci 2012
91
22

Peripheral vision and pattern recognition: a review.
Hans Strasburger, Ingo Rentschler, Martin Jüttner. J Vis 2011
210
22

Dynamic Reweighting of Auditory Modulation Filters.
Eva R M Joosten, Shihab A Shamma, Christian Lorenzi, Peter Neri. PLoS Comput Biol 2016
6
33








Classification images with uncertainty.
Bosco S Tjan, Anirvan S Nandy. J Vis 2006
36
22

Comparison of two weighted integration models for the cueing task: linear and likelihood.
Steven S Shimozaki, Miguel P Eckstein, Craig K Abbey. J Vis 2003
40
11

On the origins of suboptimality in human probabilistic inference.
Luigi Acerbi, Sethu Vijayakumar, Daniel M Wolpert. PLoS Comput Biol 2014
71
11

The ecology of action selection: insights from artificial life.
Anil K Seth. Philos Trans R Soc Lond B Biol Sci 2007
20
11

Bayesian sampling in visual perception.
Rubén Moreno-Bote, David C Knill, Alexandre Pouget. Proc Natl Acad Sci U S A 2011
71
11

Observer biases in the 3D interpretation of line drawings.
P Mamassian, M S Landy. Vision Res 1998
88
11

Rethinking human visual attention: spatial cueing effects and optimality of decisions by honeybees, monkeys and humans.
Miguel P Eckstein, Stephen C Mack, Dorion B Liston, Lisa Bogush, Randolf Menzel, Richard J Krauzlis. Vision Res 2013
27
11

Probabilistic discrimination learning.
W K ESTES, C J BURKE, R C ATKINSON, J P FRANKMANN. J Exp Psychol 1957
17
11


The absolute efficiency of perceptual decisions.
H B Barlow. Philos Trans R Soc Lond B Biol Sci 1980
63
11


Efficiency of human visual signal discrimination.
A E Burgess, R F Wagner, R J Jennings, H B Barlow. Science 1981
313
11

Probability matching as a computational strategy used in perception.
David R Wozny, Ulrik R Beierholm, Ladan Shams. PLoS Comput Biol 2010
110
11


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.