B8
Prof. Dr. Dörschner-Boyaci und Prof. Hüseyin Boyaci, Ph. D.

Integration of prior knowledge and sensory information in the perception of material qualities

The ability to visually recognize material qualities quickly and correctly is important for planning interactions with objects. Expectations about material properties can be remarkably complex and affect visual perception in a predictable way. The aim of B8 is to understand the neural mechanisms and computations involved in this expectation process. We will combine behavioral, eye-tracking und neuroimaging studies to measure and model behavioral and neural changes when expectations about material properties are violated, and assess how unexpected changes in material properties modulate the sampling of visual information, as well as the planning and perception of actions.

new project-related publications
Kaiser, D., Stecher, R., & Doerschner, K. (2023). EEG decoding reveals neural predictions for naturalistic material behaviors. bioRxiv, 2023-02. find paper DOI
Malik, A., Doerschner, K., & Boyaci, H. (2023). Unmet expectations about material properties delay perceptual decisions. Vision Research, 208, 108223. find paper
Schmid AC, Barla P, & Doerschner, K (2023). Material category of visual objects computed from specular image structure. Nature Human Behaviour, 7(7), 1152-1169. find paper
former project-related publications
Alley, L. M., Schmid, A. C., & Doerschner, K. (2020). Expectations affect the perception of material properties. Journal of Vision, 20(12), 1-1. find paper
Altan, E., Boyaci, H. (2020). Size aftereffect is non-local. Vision Research, 176, 40-47. find paper
Boyaci, H., Fang, F., Murray, S.O., Kersten, D. (2010). Perceptual grouping-dependent lightness processing in human early visual cortex. Journal of Vision, 10(9), 4, 1-12. find paper
Cavdan, M., Drewing, K., & Doerschner, K. (2021). The look and feel of soft are similar across different softness dimensions. Journal of vision, 21(10), 20-20. find paper
Doerschner, K., Fleming, R. W., Yilmaz, O., Schrater, P. R., Hartung, B., & Kersten, D. (2011). Visual motion and the perception of surface material. Current Biology, 21(23), 2010-2016. find paper
Er, G, Pamir, Z, Boyaci, H. (2020). Distinct patterns of surround modulation in V1 and hMT+. NeuroImage, 220, 117084. find paper
Schmid, A. C., Boyaci, H., & Doerschner, K. (2021). Dynamic dot displays reveal material motion network in the human brain. NeuroImage, 117688. find paper
Schmid, A., Doerschner, K. (2018). The contribution of optical and mechanical properties to the perception of soft and hard breaking materials. Journal of Vision, 18(1), 14, 1-32. find paper
Schmid, A.C. & Doerschner, K. (2019). Representing stuff in the human brain. Current Opinion in Behavioral Sciences, 30, 178-185. find paper
Toscani, M., Yücel, E. I., & Doerschner, K. (2019). Gloss and speed judgments yield different fine tuning of saccadic sampling in dynamic scenes. i-Perception<, 10(6), 2041669519889070. find paper
Urgen, B. M., & Boyaci, H. (2021a). Unmet expectations delay sensory processes. Vision Research, 181, 1-9. find paper
Urgen, B. M., & Boyaci, H. (2021b). A recurrent cortical model can parsimoniously explain the effect of expectations on sensory processes. bioRxiv. find preprint