Fusion of Multiscale Features Via Centralized Sparse-attention Network for EEG Decoding

This article describes a research paper on EEG decoding using a novel neural network architecture. The focus is on combining multiscale features with a centralized sparse-attention mechanism. The paper likely explores improvements in accuracy and efficiency compared to existing methods. The source being ArXiv suggests this is a pre-print and hasn't undergone peer review yet.

• •Focus on EEG decoding.
• •Utilizes a centralized sparse-attention network.
• •Combines multiscale features.
• •Likely aims to improve accuracy and efficiency.