Lectures in course NX-421: Neural signals and signal processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Explores neural signals, connectomes, graph theory, and multi-voxel pattern analysis in fMRI trials.

Explores linear classification, feature extraction, loss functions, cross-validation, and spatial scales in signal processing and fMRI analysis.

Explores neural activity, electromagnetic signals, EEG, MEG, signal properties, noise sources, analysis methods, and decoding techniques.

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.