Luís Paulo Reis

Structurally restricted message-passing within shallow architectures for explainable network-level brain decoding on small cohorts

Introduction Applying artificial intelligence to functional magnetic resonance imaging (fMRI) has advanced the modelling of neural activity, but deep architectures such as graph neural networks (GNNs) require large samples, limiting their use in the small cohorts typical of task-based fMRI. Shallow neural networks (SNN...