Daniel Wilson

Daniel Wilson is a researcher affiliated with the University of Freiburg, focusing on interdisciplinary applications of machine learning in neuroscience and neuroinformatics. His work involves collaboration with institutions like the Bernstein Center Freiburg and the Neurorobotics Lab, as evidenced by his recent publications on EEG decoding and pathology diagnostics.

Research Interests

• Machine Learning applications in neuroscience
• EEG signal processing and decoding
• Computational modeling of brain activity
• Development of neurodiagnostic tools

Publications

• 2025: Deep Riemannian Networks for end-to-end EEG decoding
• 2020: Machine learning-based diagnostics of EEG pathology

His work integrates advanced computational methods with clinical and cognitive neuroscience, emphasizing end-to-end AI-driven analysis of neural signals.