Learning Patterns of the Brain: Machine Learning Challenges of fMRI Analysis
Resampling Based Methods for Design and Evaluation of Neurotechnology
Introduction to Machine Learning
Active Inference and Uncertainty
Informative Brain-Mind Feature Space
Theoretical neuroscience and deep learning theory
Functional Magnetic Resonance Imaging: Data Acquisition and Analysis
The Unreasonable Effectivness Of Deep Learning
Modeling fMRI Dynamics
Modeling Social and Information Networks: Opportunities for Machine Learning