IEEE

Mutual Information Learning-Based End-to-End Fusion Network for Hybrid EEG-fNIRS Brain–Computer Interface

Abstract: Hybrid brain–computer interfaces (BCIs) integrating electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) hold great potential, but effectively fusing their ...
Bdcnetwork.com

Nation's first multi-user silicon carbide lab opens at Univ. of Arkansas

The National Multi-User Silicon Carbide Research and Fabrication Laboratory (MUSiC Fabrication Lab) recently opened at the University of Arkansas Fayetteville. The new facility was designed to support ...
Computer Weekly

IOWN 2.0 – the next applications for the next-gen network architecture

In the first part of our round-up of the Dallas meeting of the Innovative Optical and Wireless Network (IOWN) project’s Global Forum conference in October 2025, we looked at the technological ...
IEEE

IIMCNet: Intra- and Inter-modality Correlation Network for Hybrid EEG-fNIRS Brain-Computer Interface

Abstract: Hybrid Brain-Computer Interface (BCI) enhances accuracy and reliability by leveraging the complementary information provided by multi-modality signal fusion. EEG-fNIRS, a fusion of ...