In my research, I use methods from experimental psychology and cognitive neuroscience (M/EEG, fMRI) to understand the perception of naturalistic stimuli. I am particularly interested in understanding how the structure of natural environments enables the visual system to efficiently represent high-level contents such as objects and scenes. For example, I investigate how the characteristic distribution of objects across the environment facilitates the parsing of complex real-world scenes. In other lines of research, I investigate the neural correlates of attentional functions, the processing of socially relevant stimuli (such as faces and bodies), and the functional organization of high-level visual cortex.
- 2018-2021: German Research Foundation (DFG) grant “Objects in Scenes” – 278,000 Euro
- Radoslaw Cichy (Berlin)
- Gyula Kovács (Jena)
- Marius Peelen (Nijmegen)
- Timo Stein (Amsterdam)
- Matthew Foxwell (PhD student)
- Kaiser D, Quek GL, Cichy RM, Peelen MV. (2019) Object vision in a structured world. Trends Cogn Sci 23: 672-685.
- Kaiser D, Cichy RM. (2018) Typical visual-field locations enhance processing in object-selective channels of human occipital cortex. J Neurophysiol 120: 848-853.
- Kaiser D, Peelen MV. (2018) Transformation from independent to integrative coding of multi-object arrangements in human visual cortex. Neuroimage 169: 334-341.
- Kaiser D, Oosterhof NN, Peelen MV. (2016) The neural dynamics of attentional selection in natural scenes. J Neurosci 36: 10522-10528.
- Kaiser D, Stein T, Peelen MV. (2014) Object grouping based on real-world regularities facilitates perception by reducing competitive interactions in visual cortex. Proc Natl Acad Sci USA 111: 11217–11222.