Carsten Allefeld

Dr. Carsten Allefeld is a Lecturer at the Department of Psychology and Neuroscience, City St George's, University of London. With a background in physics (nonlinear dynamics) and philosophy, he develops statistical models and data analysis methods for neuroimaging (EEG, fMRI) and behavioral data. His work bridges concepts from physics, systems theory, and information theory with cognitive neuroscience and psychology, focusing on neural-mental state relationships.

• Education: Dr. rer. nat. in Physics (University of Potsdam, 2004), M.A. in Philosophy (Freie Universität Berlin)
• Employment: Lecturer at City St George's (2019–present), Research Associate at Bernstein Center for Computational Neuroscience Berlin (2009–2018)

His research emphasizes multivariate pattern analysis (MVPA) techniques, particularly cross-validated MANOVA and permutation-based prevalence inference. He explores how neural states translate into mental states, addressing the mind-body problem through dynamical systems theory. Current work focuses on effect prevalence in cognitive science populations.

Key research areas include:

• Statistical modeling for neuroimaging data
• Working memory representations
• Neural encoding-decoding relationships
• Nonlinear dynamics in brain function
• Computational methods development
• Open-source software tools for neuroscience

His recent publications (2018–2025) span topics from categorical working memory codes to prevalence inference methods, with a focus on fMRI decoding, representation geometry, and cortical dynamics. He has developed software tools like the CvCrossManova toolbox and interfaces to TikZ for academic use.

Dr. Allefeld teaches statistical methods implementation in MATLAB, R, and Python, and maintains a GitHub presence with repositories containing methodological implementations and academic software tools. He is fluent in English and German for research and peer review.