2 papers
cs.LG2024
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
Federico Nardi, Jinpei Han, Shlomi Haar +1
Graph Neural Networks (GNN) can capture the geometric properties of neural representations in EEG data. Here we utilise those to study how reinforcement-based motor learning affect…
eess.SP2024
The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding
Xiaoxi Wei, Jyotindra Narayan, A. Aldo Faisal
Machine learning has enhanced the performance of decoding signals indicating human behaviour. EEG decoding, as an exemplar indicating neural activity and human thoughts non-invasiv…