Moritz Bammel
Vita
I am a doctoral candidate in psychology with a background in cognitive science and philosophy of mind. My research interests focus on embodied cognition, ecological psychology, and the application of dynamical systems theory in psychology, including nonlinear methods. More generally, I am also interested in how experimental and philosophical questions are intertwined in psychology and cognitive science. In my dissertation project, I study reading comprehension as an embodied phenomenon in naturalistic contexts by using eye-tracking, motion capture, and EEG. Moreover, I use nonlinear methods (recurrence, fractals) to quantify reader-text coupling dynamics and to investigate how these are related to variability in reading comprehension.
Education
since 2024 Doctoral Candidate in Psychology, Leuphana University Lüneburg
2022 - 2024 M.A. Philosophy, Free University Berlin
MA Thesis: “An Ecological Approach to Cognitive Insitutions”
2020 - 2023 M.Sc. Mind and Brain - Track Brain, Berlin School of Mind and Brain, Humboldt University Berlin
MSc Thesis: “Reading Comprehension as Embodied Action: A Nonlinear Analysis of Eye Movement Dynamics“
2016 - 2020 B.Sc. Cognitive Science, Osnabrück University
BSc Thesis: “Studying Neural Correlates of Mind Wandering with Mobile EEG”
Publications
Journal contributions
- Scaling-Up Behavior Settings: An Ecological Approach to Cognitive Institutions
Moritz Bammel (Author) , Guilherme Sanches de Oliveira (Author) , 22.08.2025 , in: TopoiResearch output: Journal contributions › Journal articles › Research › peer-review
- 43. Decoding Spontaneous Thoughts From Brain Resting-State fMRI: Toward Understanding Rumination
Moritz Bammel (Author) , Ronald Dekker (Author) , Aaron T. Nakamura (Author) , Amanda M. Lins (Author) , Quentin Huys (Author) , Nicolas W. Schuck (Author) , Ming Bo Cai (Author) , 01.05.2025 , in: Biological Psychiatry, 97, 9, Supplement , p. S112-S113 , 2 p.Research output: Journal contributions › Conference abstract in journal › Research
- Greene’s dual-process moral psychology and the modularity of mind
Moritz Bammel (Author) , 20.12.2024 , in: Philosophical Psychology , 24 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Uncertainty Promotes Neuroreductionism: A Behavioral Online Study on Folk Psychological Causal Inference from Neuroimaging Data
Moritz Bammel (Author) , Jona Carmon (Author) , Peter Brugger (Author) , Bigna Lenggenhager (Author) , 01.11.2021 , in: Psychopathology, 54, 6 , p. 298-304Research output: Journal contributions › Journal articles › Research › peer-review
- Statistical Learning and Inference Is Impaired in the Nonclinical Continuum of Psychosis
Moritz Bammel (Author) , Ilvana Dzafic (Author) , Roshini Randeniya (Author) , Clare D. Harris (Author) , Marta I. Garrido (Author) , 26.08.2020 , in: The Journal of Neuroscience, 40, 35 , p. 6759–6769Research output: Journal contributions › Journal articles › Research › peer-review
Contributions to collected editions/anthologies
- Reading Comprehension as Embodied Action: Exploratory Findings on Nonlinear Eye Movement Dynamics and Comprehension of Scientific Texts
Moritz Bammel (Author) , Guilherme Sanches de Oliveira (Author) , 01.01.2023 California , p. 2333-2340 , 8 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
Courses
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In the first part of the course, we will read and critically discuss theoretical papers that introduce us to dynamical systems theory and how this approach challenges common assumptions in psychology and cognitive neuroscience. The aim of the first part of the course is to reflect on the controversies that motivate a dynamical systems approach to psychology.
In the second part of the course, we will adopt the perspective of an experimental psychologist who has developed some sympathy for dynamical systems thinking and who would like to align her research with this paradigm. One of the key implications is that dynamically inclined experimental psychologists like to use time series analysis methods that can handle data originating from an interdependent dynamical system. Students will form working groups, and each group will be tasked to work through materials covering one data analysis technique (e.g. recurrence or fractal analysis) and to perform a small sample analysis in R. At the end of the term, each group will present their results in class.
This course is targeted at students who are interested in conceptual debates in psychology and their practical implications for empirical research. From a methodological perspective, the course will combine close readings and conceptual discussions with the acquisition of new data analysis skills.