
A self-supervised framework that can effectively decode natural images from EEG signals, achieving state-of-the-art performance on large-scale zero-shot object recognition tasks.


coremsg

decoding-natural-images-from-electroencephalography-eeg-signals-for-robust-object-recognition


Decoding Natural Images from Electroencephalography (EEG) Signals for Robust Object Recognition


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Improving the performance of EEG-based object recognition through a novel interdimensional EEG sampling method and the integration of multimodal visual-language features.


enhancing-eeg-based-object-recognition-through-refined-sampling-and-multimodal-feature-integration


Enhancing EEG-Based Object Recognition Through Refined Sampling and Multimodal Feature Integration
