Pith Number

pith:DNI5SO2A

pith:2018:DNI5SO2AOT3XIWB5HGS2NTCVBE

not attested not anchored not stored refs pending

A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule

Bo Xu, Meng Dong, Xuhui Huang, Yunzhe Hao

arxiv:1812.06574 v3 · 2018-12-17 · cs.NE · cs.AI · cs.LG · q-bio.NC

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\usepackage{pith}
\pithnumber{DNI5SO2AOT3XIWB5HGS2NTCVBE}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

1 paper in Pith

Spiking Neural Predictive Coding for Continual Learning from Data Streams

Receipt and verification

First computed	2026-07-05T00:09:59.445739Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1b51d93b4074f774583d39a5a6cc55093c71b18c8ee93bf8295060deba82dde7

Aliases

arxiv: 1812.06574 · arxiv_version: 1812.06574v3 · doi: 10.48550/arxiv.1812.06574 · pith_short_12: DNI5SO2AOT3X · pith_short_16: DNI5SO2AOT3XIWB5 · pith_short_8: DNI5SO2A

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/DNI5SO2AOT3XIWB5HGS2NTCVBE \
  | 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: 1b51d93b4074f774583d39a5a6cc55093c71b18c8ee93bf8295060deba82dde7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "63366cbac100b7193672f9d596e677349dd9ca0e5011252f769384f6eec0dc15",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG",
      "q-bio.NC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2018-12-17T01:38:14Z",
    "title_canon_sha256": "9511fff77d784eb83036cd67faf83a417970daa19186538d9d9949f41202e6c3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1812.06574",
    "kind": "arxiv",
    "version": 3
  }
}