ZiF Research Group
Cognitive Behavior of Humans, Animals, and Machines:
Situation Model Perspectives
October 2019 – July 2020
Convenors: Werner Schneider (Bielefeld, GER), Helge Ritter (Bielefeld, GER)
Radek Cichy received his Bachelor degree in Cognitive Science from University of Osnabrück, and a Master degree in Medical Neuroscience from Charite University Medicine Berlin. He completed his Ph.D. in Psychology, working at the Bernstein Center for Computational Neuroscience Berlin in 2011. After a PostDoc at the Computer Science and Artificial Intelligence Laboratory at MIT, he started his own self-funded (DFG, ERC) research group "Neural Dynamics of Visual Cognition" in 2016 at the Department of Education and Psychology at Freie Universität Berlin.
Current Main Research Interests
My research is centered at the understanding of visual cognition. More specifically, I focus on object recognition by asking the question: How does the brain translate the stream of photons hitting the retina into a conscious percept of the world consisting of meaningful objects? I take a broad and holistic view on the topic of object recognition, taking into its complex interaction with other core cognitive functions of humans, such as attention and language. In the service of theory building I strive for methodological innovation. Taking an interdisciplinary approach, I combine methodology from different disciplines to make cognitive phenomena accessible to empirical investigation. In detail, I combine behavior assessment from general psychology, different brain imaging methods from neuroscience (MEG, EEG, fMRI), and computational modelling from computer science (deep neural networks).
Five selected publications with particular relevance to the Research Group
- Cichy, R. M. & Kaiser, D. (2019). Deep neural networks as scientific models. Trends in Cognitive Science, 23, 305-317. doi:10.1016/j.tics.2019.01.009.
Hebart, M. N., Bankson, B. B., Harel, A., Baker*, C. I., Cichy*, R. M. (2018). Representational dynamics of task context and its influence on visual object processing. eLife, 7, e32816. doi:10.7554/eLife.32816.
- Cichy, R. M., Khosla, A., Pantazis, D., Oliva, A. (2017). Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks. Neuroimage, 153, 346-358. doi:10.1016/j.neuroimage.2016.03.063.
- Cichy, R. M., Khosla, A., Pantazis, D., Torralba, A., Oliva, A. (2016). Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence. Scientific Reports, 10, 27755. doi:10.1038/srep27755.
- Cichy, R. M., Pantazis, D., Oliva, A. (2014). Resolving human object recognition in space and time. Nature Neuroscience, 17, 455-462. doi:10.1038/NN.3635.