David H. Brainard
David H. Brainard is the RRL Professor of Psychology at the University of Pennsylvania. He received an AB in Physics (Magna Cum Laude) from Harvard University (1982) and an MS (Electrical Engineering) and PhD (Psychology) from Stanford University in 1989. His research focuses on color vision, intrinsically photosensitive retinal ganglion cells, retinal imaging, as well as computational models thereof. He is a fellow of the Optical Society, ARVO and the Association for Psychological Science, as well as an elected member of the Society of Experimental Psychologists. In 2023 he was elected to the National Academy of Sciences USA. He is currently a member of the editorial board of the Journal of Vision and co-editor of the Annual Review of Vision Science.
The Brainard Lab studies human vision, both experimentally and through computational modeling of visual processing. Our primary concern is with how the visual system estimates object properties from the information available in the light signal incident at the eye. To study this general problem, we conduct psychophysical experiments to investigate questions such as how object color appearance is related to object surface properties under a wide range of illumination conditions and how color is used to identify objects, and formulate computational models of the results. In addition, we are interested in developing machine visual systems that can mimic human performance and in understanding the neural mechanisms of vision.
Representative Recent Publications
Twomey, C. R., Roberts, G., Brainard, D., Plotkin, J. B. (2021), What we talk about when we talk about color, PNAS,
McAdams, H., Kaiser, E. A., Igdalova, A., Haggerty, E. B.., Cucchiara, B., Brainard, D. H., Aguirre, G. K. (2020). Selective amplification of ipRGC signals accounts for interictal photophobia in migraine, PNAS, https://doi.org/10.1073/pnas.2007402117. Download PDF.
Cottaris, N. P., Wandell, B. A., Reike, F., Brainard, D. H. (2020). A computational observer model of spatial contrast sensitivity: Effects of photocurrent encoding, fixational eye movements, and inference engine. Journal of Vision, 20(7):17, https://doi.org/10.1167/jov.20.7.17.
Ruff, D. Brainard, D. H., Cohen, M. R. (2018). Neuronal population mechanisms of lightness perception. Journal of Neurophysiology, 120(5), 2296-2310, doi: 10.1152/jn.00906.2017. Download PDF. Preprint available at https://doi.org/10.1101/294280.
Tuten, W. S., Cooper, R. F., Tiruveedhula, P., Dubra, A., Roorda, A., Cottaris, N. P., Brainard, D. H., Morgan, J. I. W. (2018). Spatial summation in the human fovea: do normal optical aberrations and fixational eye movements have an effect? Journal of Vision, 18(8):6, doi: 10.1167/18.8.6, https://jov.arvojournals.org/article.aspx?articleid=2697364.
Cooper, R. F., Tuten, W. S., Dubra, A., Brainard, D. H., Morgan, J. I. W. (2017). Non-invasive assessment of human cone photoreceptor function. Biomedical Optics Express, 8(11), 5098-5112, doi: 10.1364/BOE.8.005098. https://www.osapublishing.org/boe/abstract.cfm?uri=boe-8-11-5098. Erratum: Biomed. Opt. Express, 2018, 9, 1842, https://doi.org/10.1364/BOE.9.001842.
Barnett, M. A., Aguirre, G. K., Brainard, D. H. (2021). A quadratic model captures the human V1 response to variations in chromatic direction and contrast, eLife, 2021;10:e65590, https://doi.org/10.7554/eLife.65590.
Kaiser, E. A., McAdams, H., Igdalova, A., Haggerty, E. B., Cucchiara, B., Brainard, D. H., Aguirre, G. K. (2021). Reflexive eye closure in response to cone and melanopsin stimulation: A study of implicit measures of light sensitivity in migraine, Neurology, https://doi.org/10.1212/WNL.0000000000012734. Download PDF.
Zhang, L., Cottaris, N. P., Brainard, D. H. (2022). An image reconstruction framework for characterizing early vision. eLife, 2022;11:e71132, https://doi.org/10.7554/eLife.71132.
Singh, V., Burge, J., Brainard, D. H. (2022). Equivalent noise characterization of human lightness constancy. Journal of Vision, 22(5):2, doi: https://doi.org/10.1167/jov.22.5.2.
Cooper, R. F., Brainard, D. H., Morgan, J. I. W. (2020). Optoretinography of individual human cone photoreceptors. Optics Express, 28, 39326-39339, https://www.osapublishing.org/oe/fulltext.cfm?uri=oe-28-26-39326&id=444748.
Vincent, J., Haggerty, E. B., Brainard, D. H., Aguirre, G. K. (2021). Melanopic stimulation does not affect psychophysical threshold sensitivity for luminance flicker. Scientific Reports, 11, 20167, https://www.nature.com/articles/s41598-021-99684-0.
Wandell, B. A., Brainard, D. H. (2023). Principles and consequences of the initial visual encoding. In The New Handbook of Mathematical Psychology, Vol. 3 (Ashby, F. G., Colonius, H., Dzhafarov, E. N., eds.). Cambridge University Press. Download PDF.
Godat, T., Cottaris, N. P., Patterson, S., Kohout, K., Parkins, K., Yang, Q., Strazzeri, J. M., McGregor, J. E., Brainard, D. H., Merigan, W. H., Williams, D. R. (2022). In vivo physiology of foveal retinal ganglion cells in Macaca fascicularis. PLoS One, 17(11), e0278261, https://doi.org/10.1371/journal.pone.0278261.
Chen, M., Jiang, Y. Y., Gee J. C., Brainard, D. H., Morgan, J. I. W. (2022), Automated assessment of photoreceptor visibility in adaptive optics split-detection images using edge detection. Trans. Vis. Sci. Tech., 11(5):25. doi: https://doi.org/10.1167/tvst.11.5.25.
Murray R. F., Brainard D. H., Patel J. Y., Weiss E., Patel K. Y. (2022). An intrinsic image network with properties of human lightness perception. Proceedings of the Color and Imaging Conference 30. Download PDF.
Murray R. F., Brainard D. H,. Flachot A., Patel J. Y. (2023). An intrinsic image network evaluated as a model of human lightness perception. Proceedings of Human Vision and Electronic Imaging 2023. Download PDF.
Twomey, C. R., Brainard, D. H., Plotkin, J. B. (2023). Historical constraints on the evolution of color naming. arXiv:2305.04345.