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TriDim, a reusable block that preserves the representation shape and keeps three EEG axes explicit: channel, sample position within each patch, and patch position across the recording, is proposed, a reusable block that preserves the representation shape and keeps three EEG axes explicit.
MLLMs can be misled by focusing attacks on phase information, revealing a critical vulnerability that traditional adversarial methods overlook.
By decoupling generation and robustness in avatar training, Avatar-Forever achieves high-quality, real-time video generation without the pitfalls of traditional distillation methods.
By fusing temporal and spatial EEG features layer-by-layer, LI-DSN shatters the "information silo" problem of traditional dual-stream networks, unlocking significant gains in decoding accuracy across diverse BCI tasks.