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Rotem Krispil


Neural Dynamics of Visual Cognition

PhD Candidate

Habelschwerdter Allee 45
Room JK 25/234
14195 Berlin

I joined the lab in October 2023. Before, I completed a double major BA in Cognitive Science and an interdisciplinary honors program in the Humanities, and an MA in Cognitive Science, at the Hebrew University of Jerusalem. I also spent a few interesting months in Nanyang Technological University, Singapore, as an exchange student. In my Masters, I investigated whether evidence can be actively accumulated without awareness of change, using change blindness stimuli and gaze information, under the supervision of Prof. Leon Deouell. Currently, I am a part of the Berlin School of Mind and Braingraduate program and funded by the DAAD. 

I also enjoy music, making cocktails (and good at it), hiking, philosophy, meditation, and art.

General research interests

Generally (vaguely) I want to understand thought: what is it made of, how do its parts relate, and what makes it change over time. I hope to do so more concretely by investigating the neural processing and encoding of visual information, and the way encoded information changes with time. I use behavioral paradigms, fMRI and theory-driven multivariate classification methods, and squint toward Phenomenology for inspiration. 

I am also very interested in exploring the dimensions around which concepts are defined using data-driven approaches, rich behavioral data, and using computer-rendered stimuli. 


Ongoing research projects 

Above-baseline decoding is often seen as evidence for neural representation. However, it is unclear what representation means. Although a common view of representation is the encoding and maintenance of information for use in future behavior, stimulus characteristics can often be decoded from brain activity during error trials or when subjects can’t consciously report seeing them. In my first project, I investigate the difference in information content in recorded BOLD in success and error categorization trials, and neural activity related to objects vs. background. Through these contrasts, I hope to understand what explicit neural representation of visual information means, or what additional information is processed and encoded in the visual cortex when an object is explicitly identified, beyond simple statistical regularities. 

Information about other projects will be added when available. 


Student supervision & opportunities 

I currently have no supervised students. Interested students from various backgrounds are welcome to make contact.