GitHub

SUP-MCRL: Subject-aware Unified Pseudo-feature Coded Multimodal Contrastive Representation Learning for EEG Visual Decoding

A contrastive learning-based framework for EEG-image cross-modal alignment and retrieval. Designed for the THINGS-EEG dataset, this project achieves precise retrieval from EEG signals to visual ...
GitHub

ADHD EEG Confound Audit

This repository contains the complete, reproducible code for the paper submitted to IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE). The audit targets the most widely reused ...
IEEE

SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography

Abstract: Evidence is rapidly accumulating that multifactorial nocturnal monitoring, through the coupling of wearable devices and deep learning, may be disruptive for early diagnosis and assessment of ...
marktechpost

Open Source

Marktechpost is a California-based AI News Platform providing easy-to-consume, byte size updates in machine learning, deep learning, and data science research.
Frontiers

MsGCN: a multi-stream graph convolutional network for multiband PLV graph fusion in EEG-based biometric identification

Ju et al., 2023 ). Common spatial pattern (CSP) is also one of the most popular methods for EEG feature extraction ( Becerra et al., 2025 ). However, these representations are generally less effective ...
C&EN

Identifying Sequential Residue Patterns in Bitter and Umami Peptides

A peptide’s amino acid sequence affects its taste, but how? A rigorous structure–property connection is challenging to determine because of both the exponentially growing peptide sequence space and ...