{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:V3UEGGQRSUDDJ2NTY6MAI2EZSS","short_pith_number":"pith:V3UEGGQR","schema_version":"1.0","canonical_sha256":"aee8431a11950634e9b3c7980468999493825a3dd51d46fb6427fc190b41252c","source":{"kind":"arxiv","id":"1306.3036","version":1},"attestation_state":"computed","paper":{"title":"The Ripple Pond: Enabling Spiking Networks to See","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"cs.NE","authors_text":"Andre van Schaik, Gregory Cohen, Jonathan Tapson, Runchun Wang, Saeed Afshar, Tara Julia Hamilton, Torsten Lehmann","submitted_at":"2013-06-13T06:49:35Z","abstract_excerpt":"In this paper we present the biologically inspired Ripple Pond Network (RPN), a simply connected spiking neural network that, operating together with recently proposed PolyChronous Networks (PCN), enables rapid, unsupervised, scale and rotation invariant object recognition using efficient spatio-temporal spike coding. The RPN has been developed as a hardware solution linking previously implemented neuromorphic vision and memory structures capable of delivering end-to-end high-speed, low-power and low-resolution recognition for mobile and autonomous applications where slow, highly sophisticated"},"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":"1306.3036","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2013-06-13T06:49:35Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"36a94c9d20c7b1193f27f3cad7a82a15f2d5bbb057ea03c5eeddbc52751d438a","abstract_canon_sha256":"572a03d9660a513541bf7d73ebdeddf5e74fffa985c0d16fa1ee9d9fe87224b7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:20:59.778224Z","signature_b64":"kh9Db7vHwTvsln9GZx5EKkhhFWbZov6leyLhEFbQrdfzVb97N22d4ADF9wGeCy+IT+lX6ETXPdlhOuRZaEFVCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aee8431a11950634e9b3c7980468999493825a3dd51d46fb6427fc190b41252c","last_reissued_at":"2026-05-18T03:20:59.777692Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:20:59.777692Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Ripple Pond: Enabling Spiking Networks to See","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"cs.NE","authors_text":"Andre van Schaik, Gregory Cohen, Jonathan Tapson, Runchun Wang, Saeed Afshar, Tara Julia Hamilton, Torsten Lehmann","submitted_at":"2013-06-13T06:49:35Z","abstract_excerpt":"In this paper we present the biologically inspired Ripple Pond Network (RPN), a simply connected spiking neural network that, operating together with recently proposed PolyChronous Networks (PCN), enables rapid, unsupervised, scale and rotation invariant object recognition using efficient spatio-temporal spike coding. The RPN has been developed as a hardware solution linking previously implemented neuromorphic vision and memory structures capable of delivering end-to-end high-speed, low-power and low-resolution recognition for mobile and autonomous applications where slow, highly sophisticated"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1306.3036","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":"1306.3036","created_at":"2026-05-18T03:20:59.777778+00:00"},{"alias_kind":"arxiv_version","alias_value":"1306.3036v1","created_at":"2026-05-18T03:20:59.777778+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1306.3036","created_at":"2026-05-18T03:20:59.777778+00:00"},{"alias_kind":"pith_short_12","alias_value":"V3UEGGQRSUDD","created_at":"2026-05-18T12:28:02.375192+00:00"},{"alias_kind":"pith_short_16","alias_value":"V3UEGGQRSUDDJ2NT","created_at":"2026-05-18T12:28:02.375192+00:00"},{"alias_kind":"pith_short_8","alias_value":"V3UEGGQR","created_at":"2026-05-18T12:28:02.375192+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/V3UEGGQRSUDDJ2NTY6MAI2EZSS","json":"https://pith.science/pith/V3UEGGQRSUDDJ2NTY6MAI2EZSS.json","graph_json":"https://pith.science/api/pith-number/V3UEGGQRSUDDJ2NTY6MAI2EZSS/graph.json","events_json":"https://pith.science/api/pith-number/V3UEGGQRSUDDJ2NTY6MAI2EZSS/events.json","paper":"https://pith.science/paper/V3UEGGQR"},"agent_actions":{"view_html":"https://pith.science/pith/V3UEGGQRSUDDJ2NTY6MAI2EZSS","download_json":"https://pith.science/pith/V3UEGGQRSUDDJ2NTY6MAI2EZSS.json","view_paper":"https://pith.science/paper/V3UEGGQR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1306.3036&json=true","fetch_graph":"https://pith.science/api/pith-number/V3UEGGQRSUDDJ2NTY6MAI2EZSS/graph.json","fetch_events":"https://pith.science/api/pith-number/V3UEGGQRSUDDJ2NTY6MAI2EZSS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V3UEGGQRSUDDJ2NTY6MAI2EZSS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V3UEGGQRSUDDJ2NTY6MAI2EZSS/action/storage_attestation","attest_author":"https://pith.science/pith/V3UEGGQRSUDDJ2NTY6MAI2EZSS/action/author_attestation","sign_citation":"https://pith.science/pith/V3UEGGQRSUDDJ2NTY6MAI2EZSS/action/citation_signature","submit_replication":"https://pith.science/pith/V3UEGGQRSUDDJ2NTY6MAI2EZSS/action/replication_record"}},"created_at":"2026-05-18T03:20:59.777778+00:00","updated_at":"2026-05-18T03:20:59.777778+00:00"}