pith:7DCMFFRQ
Feature Visualization Recovers Known Cortical Selectivity from TRIBE v2
Feature visualization via gradient ascent on a brain encoder recovers the known progression of selectivity from V1 to V4 and distinctive patterns for MT, FFA and PPA.
arxiv:2605.13904 v1 · 2026-05-13 · q-bio.NC · cs.LG
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Claims
The probe recovers a visible progression of increasing spatial scale and feature complexity across V1 to V4, matching the ventral-stream hierarchy. It also produces three distinctive downstream regimes: radial frozen-motion streaks for MT, face-like features for FFA, and consistent rectilinear line patterns for PPA. Optimized FFA stimuli drive the predicted region ~4x as much as a natural face photograph.
That gradient-ascent optimization on the encoder's output for a target ROI reveals the functional organization the model has internalized, rather than being dominated by optimization artifacts or adversarial effects unrelated to biological selectivity.
Feature visualization on TRIBE v2 brain encoders recovers the known ventral visual hierarchy from V1 to V4 and produces distinctive patterns for MT, FFA, and PPA, with optimized stimuli driving ~4x higher activation than natural images.
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Receipt and verification
| First computed | 2026-05-17T23:39:18.906801Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f8c4c29630715e4bffbc2a1b6139cf8d63b079af205884cdcfe1b92619bcd64b
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7DCMFFRQOFPEX754FINWCOOPRV \
| 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: f8c4c29630715e4bffbc2a1b6139cf8d63b079af205884cdcfe1b92619bcd64b
Canonical record JSON
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