Publications

• Ni L & Burge J (in review). Feature-specific divisive normalization improves natural image encoding for

   depth perception. bioRxiv, 611536, 1-42. doi: https://doi.org/10.1101/2024.09.05.611536v1 [ html | pdf ]

• Burge J & Bonnen K (accepted). Continuous psychophysics: Past, Present, Future.

   Trends in Cognitive Sciences. Invited review. [ not publicly available ]

• White DN & Burge J (in review). How distinct sources of nuisance variability in natural images and scenes

   limit human stereopsis. bioRxiv, 582383, 1-52. doi: https://doi.org/10.1101/2024.02.27.582383 [ html | pdf ]

• Barnett MA, Chin BM, Aguirre GK, Burge J, Brainard DH (revision under review). Temporal dynamics of color     

   processing. Preprint posted at: bioRxiv, 582975, 1-40. doi: https://doi.org/10.1101/2024.03.01.582975

   [ html | pdf ]

• Burge J & Dyer CM (in review). Eccentricity strongly modulates visual processing delays. Preprint posted at:

   bioRxiv, 559991, 1-18. doi: https://doi.org/10.1101/2023.09.30.559991 [ html | pdf ]

• Burge J & Burge T (under review).  Reasoning, explanation, and methodology in perceptual

   psychology: No empirical evidence for perspectival similarity.

• Burge J & Burge T (under review).  Perspectival shape is not perceptually represented.

• Herrera-Esposito D & Burge J (2024). Optimal estimation of local motion-in-depth from naturalistic stimuli

    Journal of Neuroscience, e0490242024, doi: https://doi.org/10.1523/JNEUROSCI.0490-24.2024 [ html | pdf ]

• Burge J & Cormack LK (2024). Continuous psychophysics shows that millisecond-scale visual                      

   processing delays are faithfully preserved in movement dynamics. Journal of Vision, 24(5):4, 1-23. doi:

   https://doi.org/10.1167/jov.24.5.4 [ html | pdf ]

• Rodriguez-Lopez V, Chin BM, Burge J (2023). The impact of overall light-level on the reverse Pulfrich effect.

   Preprint poited at: bioRxiv, 559782, 1-17. doi: https://doi.org/10.1101/2023.09.27.559782 [ html | pdf ]

• Herrera-Esposito D, Burge J (2023). Image-computable Bayesian model for 3D motion estimation with

    natural stimuli explains human bias. Shared Visual Representations in Human and Machine Intelligence  

    Workshop @ NeurIPS. New Orleans, LA [ html | pdf ]

• Chin B, Burge J (2022). Perceptual consequences of interocular differences in the duration of temporal

   integration. Journal of Vision, 22(12):12, 1-17. doi: https://doi.org/10.1167/jov.22.12.12 [ html | pdf ]

• Burge J & Burge T (2022). Shape, perspective, and what is and is not perceived: Comment on

   Morales, Bax, and Firestone (2020). Psychological Review. [ html | pdf | osf ]

    Original paper: Morales, Bax, Firestone (2020). Sustained representation of perspectival shape.

                        Proceedings of the National Academy of Sciences, 117(26), 14873-14882. [ html ]

•  Oluk C, Bonnen K, Burge J, Cormack LK, Geisler WS (2022). Stereo slant discrimination of planar

     3D surfaces:  Frontoparallel vs. planar matching. Journal of Vision. 22(5):6 [ html | pdf ]

•  Singh V,  Burge J, Brainard DH (2022). Equivalent noise characterization of human lightness constancy

    Journal of Vision. 22(5):2, 1-26. [ html | pdf ]

• Burge J (2021). Introduction to Tillyer Award Lecture: 2020 Awardee--Wilson S. Geisler.

   Optica Fall Vision Meeting [ pdf ]

• Rodriguez-Lopez V, Dorronsoro C, Burge J (2020). Contact lenses, the reverse Pulfrich effect, and

   anti-Pulfrich monovision corrections. Nature Scientific Reports. 10:16086, 1-16. [ html | pdf ]

• Burge J (2020). Image-computable ideal observers for tasks with natural stimuli.

   Annual Review of Vision Science. 6: 491-517 [ html | ePrint pdf ]

• Basgoze Z, White DN, Burge J, Cooper EA (2020). Natural image statistics at depth edges modulate

   perceptual stability. Journal of Vision. 20(8): 10, 1-21. [ html | pdf ]

• Kim S & Burge J (2020). Natural scene statistics predict how humans pool information across space in

   surface tilt estimation. PLoS Computational Biology, 16 (6), e1007947  [ html | pdf ]

• Chin BM & Burge J (2020). Predicting the partition of behavioral variability in speed perception with

   naturalistic images. Journal of Neuroscience, 40(4), 864-879 [ html | pdf ]

• Burge J, Rodriguez-Lopez V, Dorronsoro C (2020). Anti-Pulfrich monovision ophthalmic correction.

   U.S. Patent Application. UPenn Docket No.: 19-8887. International Application No.: PCT/US2020/016232.

   Filing date: January 31, 2020.

• Burge J, Rodriguez-Lopez V, Dorronsoro C (2019). Monovision and the misperception of motion.

   Current Biology, 29, 2586-2592, doi: https://doi.org/10.1016/j.cub.2019.06.070 [ html1 | html2 | pdf ]

     Dispatch: Read JCA (2019). Visual Perception: Monovision Can Bias the Apparent Depth of Moving Objects.  

                      Current Biology, 29, R738-R761 [ html | pdf ]

• Iyer AV, Burge J (2019). The statistics of how natural images drive the responses of neurons.

   Journal of Vision, 19(13): 4, 1-25, doi: https://doi.org/10.1167/19.13.4. [ html | pdf ]

• Burge J, Rodriguez-Lopez V, Dorronsoro C. (2019) Anti-Pulfrich monovision ophthalmic correction.

   U.S. Provisional Patent Application No. 62/799,468. Filing date: January 31, 2019.

• Singh V, Cottaris NP, Heasly BS, Brainard DH, Burge J (2018). Computational luminance constancy from

   naturalistic images.  Journal of Vision, 18(13): 19, 1-17 doi:10.1167/18.13.19 [ html | pdf ]

• Iyer AV, Burge J (2018). Depth variation and stereo processing tasks in natural scenes.


   Journal of Vision, 18(6):4, 1-22 [ html | pdf ]

• Kim S, Burge J (2018). The lawful imprecision of human surface tilt estimation in natural scenes.

   eLife, 7:e31148, doi:https://doi.org/10.7554/eLife.31448 [ html | pdf ]

• Jaini P, Burge J (2017). Linking normative models of natural tasks with descriptive models of neural response. 

   Journal of Vision, 17(12):16, 1-26 [ html | pdf ]

• Burge J, Jaini P (2017). Accuracy Maximization Analysis for sensory-perceptual tasks: Computational

   improvements, filter robustness, and coding advantages for scaled additive noise.  PLoS Computational

   Biology, 13(2): e1005281. doi:10.1371/journal.pcbi.1005281 [ html | pdf ]

• Burge J (2017). Accurate image-based estimates of focus error in the human eye and in a Smartphone

   camera.  Information Display, 33(1): 18-23 [ pdf ]

• Burge J, Mccann BC, Geisler WS (2016). Estimating 3D tilt from local image cues in natural scenes. 

   Journal of Vision 16: 13, 1-25 doi:10.1167/16.13.2 [ html | pdf ]

• Green JD, Burge J, Stansberry JA, Meinke B (2016). Cameras a Million Miles Apart: Stereoscopic Imaging

   Potential with the Hubble and James Webb Space Telescopes. arXiv:1610.0748 [ html | pdf ]

• Burge J, Geisler WS (2015). Optimal speed estimation in natural image movies predicts human performance.

   Nature Communications, 6: 7900, 1-11 doi:10.1038/ncomms8900 [ html | pdf ]

• Sebastian S*, Burge J*, Geisler WS (2015). Defocus discrimination in natural images with natural optics.

   Journal of Vision 15(5):16, 1-17 [ html | pdf ] *Joint first authorship

• Bonnen K, Burge J, Yates J, Pillow JW, Cormack LK (2015). Continuous psychophysics: Target-tracking to

   measure visual sensitivity. Journal of Vision 15(3):14, 1-16 [ html | pdf ]

• Burge J, Geisler WS (2014). Optimal disparity estimation in natural stereo-images. Journal of Vision, 14:2(1),

   1-18 [ html | pdf ]

• Geisler WS, Burge J, D'Antona AD, Michel MM (2014). Characterizing the effects of stimulus and neural

   variability on perceptual performance. In Gazzinga & Mangun (Eds.) The Cognitive Neurosciences, 5th Edition.

   363-374. Cambridge: MIT Press [ pdf ]

• Burge J & Geisler WS (2014). Optimal focus error estimation performance in individual images of a popular

   smart phone. Technical Document, University of Texas at Austin. [ pdf ]

• Scholl B, Burge J, Priebe NJ (2013). Binocular integration and disparity selectivity in mouse primary visual

   cortex. Journal of Neurophysiology, 109: 3013-3024 [ pdf ]

• Burge J & Geisler WS (2012). Optimal defocus estimates from individual images for autofocusing a digital

   camera. Proceedings of the SPIE, 8299, 82990: E1-E12, January: Burlingame, CA [ pdf ] (Best Paper Award!)

• Burge J & Geisler WS (2011). Optimal defocus estimation in individual natural images. Proceedings of the

   National Academy of Sciences, 108 (40): 16849-16854 [ pdf ]

• Banks MS, Burge J, & Held R (2011). The statistical relationship between depth, visual cues, and human

   perception. In: Sensory Cue Integration. (Ed. Landy M) Oxford University Press

• Burge J, Geisler WS (2011). Optimal image-based defocus estimates from individual natural images.

   Proceedings of the Optical Society of America: Imaging Systems & Applications, July: Toronto, Canada [ pdf ]

• Cooper EA, Burge J, Banks MS (2011). The vertical horopter is not adaptable but it may be adaptive. Journal

   of Vision, 11(3) 20: 1-19. [ pdf ]

• Burge J, Fowlkes CC, Banks MS (2010). Natural scene statistics predict how the figure-ground cue of

   convexity affects human depth perception. Journal of Neuroscience, 30(21): 7269-7280. [ pdf | supp ]

• Burge J, Girshick AR, Banks MS (2010). Visual-haptic adaptation is determined by relative reliability. Journal

   of Neuroscience, 30(22): 7714-7721. [ pdf ]

• Burge J, Ernst MO, Banks MS (2008). The statistical determinants of adaptation rate in human reaching.

   Journal of Vision, 8(4) 20: 1-19. [ pdf ]

• Burge J, Peterson MA, & Palmer SE (2005). Ordinal configural cues combine with metric disparity in depth

   perception. Journal of Vision, 5(6), 534-542. [ pdf ]

• Gepshtein S., Burge J, Ernst MO, & Banks MS (2005). The combination of vision and touch depends on spatial

   proximity. Journal of Vision, 5(11), 1013-1023. [ pdf ]

• Cowings PS, Toscano WB, Keller MA, Burge J (2001). Autogenic-feedback training exercise improves pilot

   performance: enhanced functioning under search and rescue flying conditions. The International Journal of

   Aviation Psychology. 11(3), 305-315.