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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Xiao-Jun Yu

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Open access Sep 2026

Diff-ADN: A diffusion-guided artifact denoising network with deterministic residual refinement for EEG.

OBJECTIVE Physiological artifacts degrade electroencephalographic (EEG) recordings and can affect downstream brain-computer interface (BCI) analysis. This study develops a compact single-channel framework for ocular, muscular, cardiac, and mixed-artifact removal. Approach: The Diffusion-Guided Artifact Denoising Networ...

Mudasir Jamil, Muhammad Zulkifal Aziz, Bin-Wen Huang et al. · 0 citations
Review Open access Aug 2026

A Comprehensive Review of Sequence and Generative Models in Motor Imagery (MI) Classification for Brain–Computer Interfaces (BCIs)

This study performs an in-depth analysis on the strengths and limitations of traditional models such as RNNs and LSTMs as well as emergent models such as VAEs and transformers, which have demonstrated superior performance in extracting the intricate patterns of the EEG data with low latency.

Muhammad Ahmed Abbasi, Hafza Faiza Abbasi, Muhammad Arsalan et al. · 0 citations
Open access Sep 2026

SEDAT: a hybrid tokenizer for large EEG models

This study proposes the squeeze-and-excitation (SE)-data-adaptive Gaussian average filtering (DAGAF) adaptive tokenizer (SEDAT), a hybrid framework integrating SE-based spatial aggregation, DAGAF-based signal decomposition, instantaneous-frequency-guided adaptive segmentation, and Fourier-domain resampling into a singl...

Muhammad Zulkifal Aziz, Yue Zhuo, Bin-Wen Huang et al. · 0 citations

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