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Connection

James Gordon to Color Perception

This is a "connection" page, showing publications James Gordon has written about Color Perception.
Connection Strength

2.233
  1. Nunez V, Shapley RM, Gordon J. Nonlinear dynamics of cortical responses to color in the human cVEP. J Vis. 2017 09 01; 17(11):9.
    View in: PubMed
    Score: 0.628
  2. Abramov I, Gordon J. Color vision panel tests: a metric for interpreting numeric analytic indices. Optom Vis Sci. 2009 Feb; 86(2):146-52.
    View in: PubMed
    Score: 0.346
  3. Gordon J, Abramov I. Color appearance: Maxwellian vs. Newtonian views. Vision Res. 2008 Aug; 48(18):1879-83.
    View in: PubMed
    Score: 0.334
  4. Gordon J, Shapley R. Brightness contrast inhibits color induction: evidence for a new kind of color theory. Spat Vis. 2006; 19(2-4):133-46.
    View in: PubMed
    Score: 0.280
  5. Abramov I, Gordon J. Seeing unique hues. J Opt Soc Am A Opt Image Sci Vis. 2005 Oct; 22(10):2143-53.
    View in: PubMed
    Score: 0.275
  6. Xing D, Ouni A, Chen S, Sahmoud H, Gordon J, Shapley R. Brightness-color interactions in human early visual cortex. J Neurosci. 2015 Feb 04; 35(5):2226-32.
    View in: PubMed
    Score: 0.131
  7. Abramov I, Gordon J, Chan H. Color appearance: properties of the uniform appearance diagram derived from hue and saturation scaling. Atten Percept Psychophys. 2009 Apr; 71(3):632-43.
    View in: PubMed
    Score: 0.088
  8. Nunez V, Gordon J, Shapley R. Signals from Single-Opponent Cortical Cells in the Human cVEP. J Neurosci. 2022 05 25; 42(21):4380-4393.
    View in: PubMed
    Score: 0.054
  9. Nunez V, Gordon J, Shapley RM. A multiplicity of color-responsive cortical mechanisms revealed by the dynamics of cVEPs. Vision Res. 2021 11; 188:234-245.
    View in: PubMed
    Score: 0.052
  10. Vagell R, Vagell VJ, Jacobs RL, Gordon J, Baden AL. SMARTA: Automated testing apparatus for visual discrimination tasks. Behav Res Methods. 2019 12; 51(6):2597-2608.
    View in: PubMed
    Score: 0.046
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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