Lucas Mahler

My current research focuses on identifying neural correlates of perceptual state transitions by studying both human and artificial intelligence systems using ultra-high field functional magnetic resonance imaging (fMRI) within no-report paradigms and NeuroAI methods. This innovative approach aims to uncover underlying similarities in conscious processing between artificial neural networks and the human brain.

In parallel, I am working on several collaborative projects such as the development of novel MRI motion correction algorithms, the implementation of super-resolution techniques in medical imaging, precise brain segmentation, and the extraction of interpretable brain biomarkers from fMRI data. Each project aims to exploit the valuable information contained in biomedical data to contribute to a deeper scientific understanding of the intricate workings of the brain and the potential for AI applications in neuroscience and everyday clinical practice.