{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:2TOGOTFADXH7Q5VXQPDXUZV5UC","short_pith_number":"pith:2TOGOTFA","schema_version":"1.0","canonical_sha256":"d4dc674ca01dcff876b783c77a66bda0abc9f9b13f2099f6cef8bc012d570a61","source":{"kind":"arxiv","id":"1905.10585","version":1},"attestation_state":"computed","paper":{"title":"Hebbian-Descent","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Jan Melchior, Laurenz Wiskott","submitted_at":"2019-05-25T12:11:19Z","abstract_excerpt":"In this work we propose Hebbian-descent as a biologically plausible learning rule for hetero-associative as well as auto-associative learning in single layer artificial neural networks. It can be used as a replacement for gradient descent as well as Hebbian learning, in particular in online learning, as it inherits their advantages while not suffering from their disadvantages. We discuss the drawbacks of Hebbian learning as having problems with correlated input data and not profiting from seeing training patterns several times. For gradient descent we identify the derivative of the activation "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1905.10585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-25T12:11:19Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"15768816a50aeaa5f843bc093c22fe84630ed8e879d0a094e0b0295514b340e2","abstract_canon_sha256":"027f28b27a0a0c8014f1e9b296f7cea034bd2733923ea25b28cba178d6c76019"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:08.033563Z","signature_b64":"NCZmnSzF16i/vttATp7tdjlBz0dResf3774/60NbhxaLTbC0Ew55+SXzOlcY1UqEpOA0H0LT0YHbc+AHLDESCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4dc674ca01dcff876b783c77a66bda0abc9f9b13f2099f6cef8bc012d570a61","last_reissued_at":"2026-05-17T23:45:08.032918Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:08.032918Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hebbian-Descent","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Jan Melchior, Laurenz Wiskott","submitted_at":"2019-05-25T12:11:19Z","abstract_excerpt":"In this work we propose Hebbian-descent as a biologically plausible learning rule for hetero-associative as well as auto-associative learning in single layer artificial neural networks. It can be used as a replacement for gradient descent as well as Hebbian learning, in particular in online learning, as it inherits their advantages while not suffering from their disadvantages. We discuss the drawbacks of Hebbian learning as having problems with correlated input data and not profiting from seeing training patterns several times. For gradient descent we identify the derivative of the activation "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.10585","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1905.10585","created_at":"2026-05-17T23:45:08.033018+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.10585v1","created_at":"2026-05-17T23:45:08.033018+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.10585","created_at":"2026-05-17T23:45:08.033018+00:00"},{"alias_kind":"pith_short_12","alias_value":"2TOGOTFADXH7","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_16","alias_value":"2TOGOTFADXH7Q5VX","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_8","alias_value":"2TOGOTFA","created_at":"2026-05-18T12:33:07.085635+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC","json":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC.json","graph_json":"https://pith.science/api/pith-number/2TOGOTFADXH7Q5VXQPDXUZV5UC/graph.json","events_json":"https://pith.science/api/pith-number/2TOGOTFADXH7Q5VXQPDXUZV5UC/events.json","paper":"https://pith.science/paper/2TOGOTFA"},"agent_actions":{"view_html":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC","download_json":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC.json","view_paper":"https://pith.science/paper/2TOGOTFA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.10585&json=true","fetch_graph":"https://pith.science/api/pith-number/2TOGOTFADXH7Q5VXQPDXUZV5UC/graph.json","fetch_events":"https://pith.science/api/pith-number/2TOGOTFADXH7Q5VXQPDXUZV5UC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC/action/storage_attestation","attest_author":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC/action/author_attestation","sign_citation":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC/action/citation_signature","submit_replication":"https://pith.science/pith/2TOGOTFADXH7Q5VXQPDXUZV5UC/action/replication_record"}},"created_at":"2026-05-17T23:45:08.033018+00:00","updated_at":"2026-05-17T23:45:08.033018+00:00"}