Richard F Murray. J Vis 2011
Times Cited: 76
Times Cited: 76
Times Cited
Times Co-cited
Similarity
38
Optimal methods for calculating classification images: weighted sums.
Richard F Murray, Patrick J Bennett, Allison B Sekuler. J Vis 2002
Richard F Murray, Patrick J Bennett, Allison B Sekuler. J Vis 2002
22
Classification image analysis: estimation and statistical inference for two-alternative forced-choice experiments.
Craig K Abbey, Miguel P Eckstein. J Vis 2002
Craig K Abbey, Miguel P Eckstein. J Vis 2002
19
The VideoToolbox software for visual psychophysics: transforming numbers into movies.
D G Pelli. Spat Vis 1997
D G Pelli. Spat Vis 1997
19
18
Estimating classification images with generalized linear and additive models.
Kenneth Knoblauch, Laurence T Maloney. J Vis 2008
Kenneth Knoblauch, Laurence T Maloney. J Vis 2008
40
19
Bubbles: a technique to reveal the use of information in recognition tasks.
F Gosselin, P G Schyns. Vision Res 2001
F Gosselin, P G Schyns. Vision Res 2001
17
Deriving behavioural receptive fields for visually completed contours.
J M Gold, R F Murray, P J Bennett, A B Sekuler. Curr Biol 2000
J M Gold, R F Murray, P J Bennett, A B Sekuler. Curr Biol 2000
17
Spatiotemporal mechanisms for detecting and identifying image features in human vision.
Peter Neri, David J Heeger. Nat Neurosci 2002
Peter Neri, David J Heeger. Nat Neurosci 2002
14
Visual detection under uncertainty operates via an early static, not late dynamic, non-linearity.
Peter Neri. Front Comput Neurosci 2010
Peter Neri. Front Comput Neurosci 2010
64
Receptive versus perceptive fields from the reverse-correlation viewpoint.
Peter Neri, Dennis M Levi. Vision Res 2006
Peter Neri, Dennis M Levi. Vision Res 2006
14
Uncertainty explains many aspects of visual contrast detection and discrimination.
D G Pelli. J Opt Soc Am A 1985
D G Pelli. J Opt Soc Am A 1985
14
Classification images predict absolute efficiency.
Richard F Murray, Patrick J Bennett, Allison B Sekuler. J Vis 2005
Richard F Murray, Patrick J Bennett, Allison B Sekuler. J Vis 2005
22
Classification images for detection, contrast discrimination, and identification tasks with a common ideal observer.
Craig K Abbey, Miguel P Eckstein. J Vis 2006
Craig K Abbey, Miguel P Eckstein. J Vis 2006
29
Superstitious perceptions reveal properties of internal representations.
Frédéric Gosselin, Philippe G Schyns. Psychol Sci 2003
Frédéric Gosselin, Philippe G Schyns. Psychol Sci 2003
13
Stochastic characterization of small-scale algorithms for human sensory processing.
Peter Neri. Chaos 2010
Peter Neri. Chaos 2010
64
Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
11
10
10
Measuring internal representations from behavioral and brain data.
Marie L Smith, Frédéric Gosselin, Philippe G Schyns. Curr Biol 2012
Marie L Smith, Frédéric Gosselin, Philippe G Schyns. Curr Biol 2012
17
The footprints of visual attention in the Posner cueing paradigm revealed by classification images.
Miguel P Eckstein, Steven S Shimozaki, Craig K Abbey. J Vis 2002
Miguel P Eckstein, Steven S Shimozaki, Craig K Abbey. J Vis 2002
9
Facial expressions of emotion are not culturally universal.
Rachael E Jack, Oliver G B Garrod, Hui Yu, Roberto Caldara, Philippe G Schyns. Proc Natl Acad Sci U S A 2012
Rachael E Jack, Oliver G B Garrod, Hui Yu, Roberto Caldara, Philippe G Schyns. Proc Natl Acad Sci U S A 2012
9
Bayesian reconstruction of natural images from human brain activity.
Thomas Naselaris, Ryan J Prenger, Kendrick N Kay, Michael Oliver, Jack L Gallant. Neuron 2009
Thomas Naselaris, Ryan J Prenger, Kendrick N Kay, Michael Oliver, Jack L Gallant. Neuron 2009
9
Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
9
Global properties of natural scenes shape local properties of human edge detectors.
Peter Neri. Front Psychol 2011
Peter Neri. Front Psychol 2011
46
Local visual energy mechanisms revealed by detection of global patterns.
Yaniv Morgenstern, James H Elder. J Neurosci 2012
Yaniv Morgenstern, James H Elder. J Neurosci 2012
63
Classification images reveal decision variables and strategies in forced choice tasks.
Lisa M Pritchett, Richard F Murray. Proc Natl Acad Sci U S A 2015
Lisa M Pritchett, Richard F Murray. Proc Natl Acad Sci U S A 2015
77
Classification images: a tool to analyze visual strategies.
Miguel P Eckstein, Albert J Ahumada. J Vis 2002
Miguel P Eckstein, Albert J Ahumada. J Vis 2002
10
Show me the features! Understanding recognition from the use of visual information.
Philippe G Schyns, Lizann Bonnar, Frédéric Gosselin. Psychol Sci 2002
Philippe G Schyns, Lizann Bonnar, Frédéric Gosselin. Psychol Sci 2002
7
Signal but not noise changes with perceptual learning.
J Gold, P J Bennett, A B Sekuler. Nature 1999
J Gold, P J Bennett, A B Sekuler. Nature 1999
7
How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
7
Perceptual learning improves efficiency by re-tuning the decision 'template' for position discrimination.
Roger W Li, Dennis M Levi, Stanley A Klein. Nat Neurosci 2004
Roger W Li, Dennis M Levi, Stanley A Klein. Nat Neurosci 2004
7
Perceptual learning of oriented gratings as revealed by classification images.
Jonathan Dobres, Aaron R Seitz. J Vis 2010
Jonathan Dobres, Aaron R Seitz. J Vis 2010
50
Improved classification images with sparse priors in a smooth basis.
Patrick J Mineault, Simon Barthelmé, Christopher C Pack. J Vis 2009
Patrick J Mineault, Simon Barthelmé, Christopher C Pack. J Vis 2009
31
Relations between the statistics of natural images and the response properties of cortical cells.
D J Field. J Opt Soc Am A 1987
D J Field. J Opt Soc Am A 1987
7
Efficiency of human visual signal discrimination.
A E Burgess, R F Wagner, R J Jennings, H B Barlow. Science 1981
A E Burgess, R F Wagner, R J Jennings, H B Barlow. Science 1981
7
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
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
7
Visual image reconstruction from human brain activity using a combination of multiscale local image decoders.
Yoichi Miyawaki, Hajime Uchida, Okito Yamashita, Masa-aki Sato, Yusuke Morito, Hiroki C Tanabe, Norihiro Sadato, Yukiyasu Kamitani. Neuron 2008
Yoichi Miyawaki, Hajime Uchida, Okito Yamashita, Masa-aki Sato, Yusuke Morito, Hiroki C Tanabe, Norihiro Sadato, Yukiyasu Kamitani. Neuron 2008
7
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
Shinji Nishimoto, An T Vu, Thomas Naselaris, Yuval Benjamini, Bin Yu, Jack L Gallant. Curr Biol 2011
7
Evidence for joint encoding of motion and disparity in human visual perception.
Peter Neri, Dennis M Levi. J Neurophysiol 2008
Peter Neri, Dennis M Levi. J Neurophysiol 2008
26
Classification images for simple detection and discrimination tasks in correlated noise.
Craig K Abbey, Miguel P Eckstein. J Opt Soc Am A Opt Image Sci Vis 2007
Craig K Abbey, Miguel P Eckstein. J Opt Soc Am A Opt Image Sci Vis 2007
19
Attentional control of sensory tuning in human visual perception.
Aspasia E Paltoglou, Peter Neri. J Neurophysiol 2012
Aspasia E Paltoglou, Peter Neri. J Neurophysiol 2012
23
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.