{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:LC4LQ52SDJGS2P527ZMJ2W6M3X","short_pith_number":"pith:LC4LQ52S","schema_version":"1.0","canonical_sha256":"58b8b877521a4d2d3fbafe589d5bccddece034e55de955a149cac9c47d0cd7e8","source":{"kind":"arxiv","id":"1505.04357","version":1},"attestation_state":"computed","paper":{"title":"Evolving Spiking Networks with Variable Resistive Memories","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Andrew Adamatzky, Ben De Lacy Costello, Ella Gale, Gerard David Howard, Larry Bull","submitted_at":"2015-05-17T05:23:07Z","abstract_excerpt":"Neuromorphic computing is a brainlike information processing paradigm that requires adaptive learning mechanisms. A spiking neuro-evolutionary system is used for this purpose; plastic resistive memories are implemented as synapses in spiking neural networks. The evolutionary design process exploits parameter self-adaptation and allows the topology and synaptic weights to be evolved for each network in an autonomous manner. Variable resistive memories are the focus of this research; each synapse has its own conductance profile which modifies the plastic behaviour of the device and may be altere"},"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":"1505.04357","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-05-17T05:23:07Z","cross_cats_sorted":[],"title_canon_sha256":"458901e9d08f738ec9ca0791043323247f0a6e35299c8c3916485dbf9557b3a0","abstract_canon_sha256":"cdc9b548836a006dcef776d6f74f51adaca21488a49f48a81f61de82d4156b75"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:07:25.595706Z","signature_b64":"H7NfHeJUBeYg7WyHJ20ti2n6DPYAD4j/UEzgVgLYdSYjcZljXQgzWKHQ78Jhxm19mDqFQ8y1Zcy79waRTbdrAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58b8b877521a4d2d3fbafe589d5bccddece034e55de955a149cac9c47d0cd7e8","last_reissued_at":"2026-05-18T02:07:25.595171Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:07:25.595171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evolving Spiking Networks with Variable Resistive Memories","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Andrew Adamatzky, Ben De Lacy Costello, Ella Gale, Gerard David Howard, Larry Bull","submitted_at":"2015-05-17T05:23:07Z","abstract_excerpt":"Neuromorphic computing is a brainlike information processing paradigm that requires adaptive learning mechanisms. A spiking neuro-evolutionary system is used for this purpose; plastic resistive memories are implemented as synapses in spiking neural networks. The evolutionary design process exploits parameter self-adaptation and allows the topology and synaptic weights to be evolved for each network in an autonomous manner. Variable resistive memories are the focus of this research; each synapse has its own conductance profile which modifies the plastic behaviour of the device and may be altere"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.04357","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":"1505.04357","created_at":"2026-05-18T02:07:25.595233+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.04357v1","created_at":"2026-05-18T02:07:25.595233+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.04357","created_at":"2026-05-18T02:07:25.595233+00:00"},{"alias_kind":"pith_short_12","alias_value":"LC4LQ52SDJGS","created_at":"2026-05-18T12:29:29.992203+00:00"},{"alias_kind":"pith_short_16","alias_value":"LC4LQ52SDJGS2P52","created_at":"2026-05-18T12:29:29.992203+00:00"},{"alias_kind":"pith_short_8","alias_value":"LC4LQ52S","created_at":"2026-05-18T12:29:29.992203+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/LC4LQ52SDJGS2P527ZMJ2W6M3X","json":"https://pith.science/pith/LC4LQ52SDJGS2P527ZMJ2W6M3X.json","graph_json":"https://pith.science/api/pith-number/LC4LQ52SDJGS2P527ZMJ2W6M3X/graph.json","events_json":"https://pith.science/api/pith-number/LC4LQ52SDJGS2P527ZMJ2W6M3X/events.json","paper":"https://pith.science/paper/LC4LQ52S"},"agent_actions":{"view_html":"https://pith.science/pith/LC4LQ52SDJGS2P527ZMJ2W6M3X","download_json":"https://pith.science/pith/LC4LQ52SDJGS2P527ZMJ2W6M3X.json","view_paper":"https://pith.science/paper/LC4LQ52S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.04357&json=true","fetch_graph":"https://pith.science/api/pith-number/LC4LQ52SDJGS2P527ZMJ2W6M3X/graph.json","fetch_events":"https://pith.science/api/pith-number/LC4LQ52SDJGS2P527ZMJ2W6M3X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LC4LQ52SDJGS2P527ZMJ2W6M3X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LC4LQ52SDJGS2P527ZMJ2W6M3X/action/storage_attestation","attest_author":"https://pith.science/pith/LC4LQ52SDJGS2P527ZMJ2W6M3X/action/author_attestation","sign_citation":"https://pith.science/pith/LC4LQ52SDJGS2P527ZMJ2W6M3X/action/citation_signature","submit_replication":"https://pith.science/pith/LC4LQ52SDJGS2P527ZMJ2W6M3X/action/replication_record"}},"created_at":"2026-05-18T02:07:25.595233+00:00","updated_at":"2026-05-18T02:07:25.595233+00:00"}