pith:PMQLFBK2
Brain-CLIPLM: Semantic Compression for EEG-to-Text Decoding
EEG signals encode compressed semantic anchors rather than full sentence structure, making direct reconstruction overparameterized.
arxiv:2604.16370 v2 · 2026-03-23 · cs.CL · cs.AI · cs.CV
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Claims
EEG signals encode a compressed set of semantic anchors rather than full linguistic structure, making direct sentence reconstruction overparameterized relative to EEG information capacity; Brain-CLIPLM achieves 67.55% top-5 and 85.00% top-25 sentence retrieval accuracy on the Zurich Cognitive Language Processing Corpus via granularity matching.
The semantic compression hypothesis that EEG encodes only compressed semantic anchors under realistic information constraints, and that the two-stage contrastive-plus-LLM framework aligns decoding complexity with neural capacity without losing essential information.
Brain-CLIPLM recovers compressed semantic anchors from EEG via contrastive learning and uses retrieval-grounded LLM reasoning to achieve 67.55% top-5 and 85% top-25 sentence retrieval accuracy, supporting the view that EEG encodes semantic content rather than full linguistic structure.
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Receipt and verification
| First computed | 2026-06-05T01:14:38.788313Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7b20b2855afc99986a3593fa4fb5521aa242f4aaee73ce4b91d552ddd14822f8
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/PMQLFBK27SMZQ2RVSP5E7NKSDK \
| jq -c '.canonical_record' \
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Canonical record JSON
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