pith:WMNVUMPE
Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions
Von Economo neurons act as acquisition scaffolds that make learning converge reliably in recurrent spiking networks.
arxiv:2605.17399 v1 · 2026-05-17 · q-bio.NC · cs.NE
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Claims
VENs function as acquisition scaffolds whose developmental absence produces stochastic learning failure - a computational analogue of variable social skill acquisition in ASC - with falsifiable predictions for organoid and electrophysiology studies.
The binary classification task and the specific recurrent architecture sufficiently capture the computational contribution of VENs to social skill acquisition, despite the explicit statement that the model does not directly simulate social cognition.
Embedding 2% VEN-like neurons in spiking networks raises convergence from 70% to 98% on a classification task by supplying stable gradient pathways, modeling stochastic learning failure in ASC.
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| First computed | 2026-05-20T00:03:56.499731Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/WMNVUMPETUBKHITB6YXY5YW4GA \
| 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())"
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Canonical record JSON
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