pith:PZRYMUVH
Beyond Flickering: Introducing Code-Modulated Motion Visual Evoked Potentials for Brain-Computer Interfacing
Code-modulated motion visual evoked potentials enable functional brain-computer interfacing by replacing flicker with pseudo-random object motion.
arxiv:2605.15801 v1 · 2026-05-15 · q-bio.NC
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\pithnumber{PZRYMUVHP2J6MIJXALX274PERL}
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Record completeness
Claims
The c-MVEP BCI reached a mean accuracy of 85.67% with an average selection time of 2.61s, which was significantly lower than c-VEP (97.81%; 1.15s) and SSVEP (93.42%; 1.94s), but significantly higher than SSMVEP (64.91%; 4.18s).
That the pseudo-random motion sequences produce sufficiently distinct and stable EEG responses across users to support reliable online classification without extensive per-user calibration or post-hoc data selection.
Introduces c-MVEP paradigm using motion stimulation, achieving 85.67% accuracy in online 4-class BCI with comparable SNR to c-VEP but different spatial distribution.
References
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Receipt and verification
| First computed | 2026-05-20T00:01:19.133130Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7e638652a77e93e6213702efaff1e48ae4d02961f3ff86f8a01ae7f2af78ebb2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PZRYMUVHP2J6MIJXALX274PERL \
| 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: 7e638652a77e93e6213702efaff1e48ae4d02961f3ff86f8a01ae7f2af78ebb2
Canonical record JSON
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