EEG study reveals distinct ERP patterns for AI hallucinations, with misjudged ones failing to trigger standard neurocognitive verification pathways.
Eeg-imagenet: An electroencephalo- gram dataset and benchmarks with image visual stimuli of multi- granularity labels
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A hybrid visual-motor imagery EEG decoder controls a robot for grasping and placement at 40% and 63% accuracy respectively, yielding 21% end-to-end task success in cue-free online use.
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How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
EEG study reveals distinct ERP patterns for AI hallucinations, with misjudged ones failing to trigger standard neurocognitive verification pathways.
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Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery
A hybrid visual-motor imagery EEG decoder controls a robot for grasping and placement at 40% and 63% accuracy respectively, yielding 21% end-to-end task success in cue-free online use.
- Subject-Aware Multi-Granularity Alignment for Zero-Shot EEG-to-Image Retrieval