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pith:IYR6WFUP

pith:2026:IYR6WFUPK3ARB4IXEW6KQOTW3A

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KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation

Haoning Wang, Shuai Shen, Wenchao Yang, Yang Li

KAST-BAR builds an EEG foundation model that aligns brain signals with medical knowledge using dynamic topology modeling and achieves better results on six tasks.

arxiv:2605.13133 v1 · 2026-05-13 · cs.LG · eess.SP

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Claims

C1strongest claim

By conducting large-scale pre-training on 21 diverse datasets to build a foundation model, KAST-BAR effectively integrates expert-level medical knowledge into EEG signal representations, consistently achieving superior performance across six downstream tasks.

C2weakest assumption

The assumption that the Dual-Stream Hierarchical Attention encoder, Knowledge-Anchored Semantic Profiler, and Semantic Text-Aware Refiner can accurately capture non-Euclidean brain topology and dynamically align low-level physiological signals with high-level textual semantics without introducing artifacts or overfitting to the pre-training data.

C3one line summary

KAST-BAR builds an EEG foundation model by dynamically modeling non-Euclidean brain topology with DSHA and aligning signals to expert semantic space via KASP and STAR, achieving superior performance on six downstream tasks after pre-training on 21 datasets.

References

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[1] universal neural representations 2017 · doi:10.1109/spmb.2017.8257018

[2] Topological Mismatch 2026

[3] Brain Invaders 2025

[4] Detailed network architecture specifications are provided in Table 7 2017

[5] DSHA Structure: Dual-Stream Interaction Mechanism.Going beyond simple unidirectional multi-scale feature aggregation, DSHA adopts an explicitBidirectional Progressive Interaction Strategyto address th

Receipt and verification

First computed	2026-05-18T03:08:57.673028Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4623eb168f56c110f11725bca83a76d82e7d79db9f52cf50f87274bef4f77dc9

Aliases

arxiv: 2605.13133 · arxiv_version: 2605.13133v1 · doi: 10.48550/arxiv.2605.13133 · pith_short_12: IYR6WFUPK3AR · pith_short_16: IYR6WFUPK3ARB4IX · pith_short_8: IYR6WFUP

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/IYR6WFUPK3ARB4IXEW6KQOTW3A \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 4623eb168f56c110f11725bca83a76d82e7d79db9f52cf50f87274bef4f77dc9

Canonical record JSON

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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T08:02:59Z",
    "title_canon_sha256": "9c38d663dd54ccd2664540530330aaef9feb82490e9df43da796f9658d3f55b4"
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