Kersten Computational Vision Lab#
The Computational Vision Lab combines computational theory with behavioral and brain imaging experiments to understand how we see the world around us.
Welcome! You can learn who we are and read more about our research and publications.
Selected publications#
Bratch, A., Chen, Y., Engel, S. A., & Kersten, D. J. (2021). Visual adaptation selective for individual limbs reveals hierarchical human body representation. Journal of Vision, 21(5), 18–18. https://doi.org/10.1167/jov.21.5.18
Morgenstern, Y., & Kersten, D. J. (2017). The perceptual dimensions of natural dynamic flow. Journal of Vision, 17(12), 7–7. https://doi.org/10.1167/17.12.7
Fan, X., Wang, L., Shao, H., Kersten, D., & He, S. (2016). Temporally flexible feedback signal to foveal cortex for peripheral object recognition. Proceedings of the National Academy of Sciences, 113(41), 11627–11632. https://doi.org/10.1073/pnas.1606137113
Qiu, C., Burton, P. C., Kersten, D., & Olman, C. A. (2016). Responses in early visual areas to contour integration are context dependent. Journal of Vision, 16(8), 19–19. https://doi.org/10.1167/16.8.19
Kersten, D., & Yuille, A. (2014). Inferential models of the visual cortical hierarchy. In M. S. Gazzaniga & G. R. Mangun (Eds.), The cognitive neurosciences (Fifth Edition, pp. 398–404). /fulltext/KerstenYuilleNewCogNeuro2014.pdf