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pith:WMNVUMPE

pith:2026:WMNVUMPETUBKHITB6YXY5YW4GA
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Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions

Esila Keskin

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

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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.

References

24 extracted · 24 resolved · 0 Pith anchors

[1] Zeitschrift f 1926
[2] Proceedings of the National Academy of Sciences , volume = 1999
[3] Annals of the New York Academy of Sciences , volume = 2011
[4] Trends in Cognitive Sciences , volume = 2005
[5] Annals of Neurology , volume = 2006
Receipt and verification
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

b31b5a31e49d02a3a261f62f8ee2dc3000670c3e16c317f0644a94245d63a10c

Aliases

arxiv: 2605.17399 · arxiv_version: 2605.17399v1 · doi: 10.48550/arxiv.2605.17399 · pith_short_12: WMNVUMPETUBK · pith_short_16: WMNVUMPETUBKHITB · pith_short_8: WMNVUMPE
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Verify this Pith Number yourself
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())"
# expect: b31b5a31e49d02a3a261f62f8ee2dc3000670c3e16c317f0644a94245d63a10c
Canonical record JSON
{
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    "abstract_canon_sha256": "9d3ab33d7a6c913c3b3039cf87f8c1280fbff7bf19623bf8a6cd455dd18013a7",
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "q-bio.NC",
    "submitted_at": "2026-05-17T11:39:58Z",
    "title_canon_sha256": "4e883963416d2065dc7ebc936e3ebd8a7e4a1cba867312548f7e6eb33caa7af9"
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  "source": {
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    "kind": "arxiv",
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}