Dr. Sam Gijsen

Postdoctoral Researcher
Machine Learning in Clinical Neuroimaging

Dr. Sam Gijsen

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Selected Work

EEG-Language Pretraining for Pathology Detection Sam Gijsen, Kerstin Ritter
Project 2

First-of-its-kind EEG-language model for downstream clinical tasks. We show that multimodal models integrating natural language learn more useful representations of neural data.

arXiv • Code to come

Neural surprise in somatosensory Bayesian learning Sam Gijsen, Miro Grundei, Robert T. Lange, Dirk Ostwald, Felix Blankenburg
Project 2

Computational modeling of neural signals using information-theoretic measures shows perceptual learning can be described as a process of probabilistic inference.

PLOS Computational Biology • Code

Active inference and the two-step task Sam Gijsen, Miro Grundei, Felix Blankenburg
Project 2

Compared to reinforcement learning, active inference models can better describe human sequential decision-making using probablistic surprise minimization.

Scientific Reports • Code

Latest Blog post

Project 2

Hillsbrad Diffusion: A World Diffusion Model Criminally Undertrained
A qualitative look at a world diffusion model undertrained on two hours of sparse exploration of a large map.

Blog post •