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S. Shaihan

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Open access Aug 2026

AMAtt: Manifold Attention Network with Adaptive Log-Euclidean Metrics for Brain Signals

This paper extended the existing Manifold Attention Network (MAtt), a novel deep learning model that applies a manifold attention mechanism to better capture the spatiotemporal patterns of EEG signals, and integrates Adaptive Log-Euclidean Metrics (ALEMs)---a learnable metric framework into the MAtt network that adapts...

S. Shaihan · 0 citations

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