Tag: brain-computer interfaces
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FUSED: Source-Free EEG Decoding with Foundation Models
Discover FUSED, a dual-branch framework using foundation models for accurate, source-free EEG decoding across diverse subjects and applications.
BandRouteNet: Adaptive EEG Artifact Removal Neural Net
BandRouteNet uses adaptive band routing to efficiently remove EEG artifacts, improving signal quality for neurological and BCI applications.
Neurable Licenses Mind-Reading BCI Tech for Wearables
Neurable aims to license its non-invasive mind-reading BCI tech for consumer wearables, enhancing gaming, health, and smart home control.
Latent Functional Alignment for Visual Imagery Decoding from fMRI
Discover how latent functional alignment improves visual imagery decoding from fMRI data, enhancing brain-computer interface and cognitive neuroscience res...
EEG-MFTNet: Advanced EEGNet for Motor Imagery Decoding
Discover EEG-MFTNet, an enhanced EEGNet with multi-scale convolutions and transformer fusion for accurate cross-session motor imagery decoding in BCIs.