{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:C3YQZUFMFOGOLHEA3A4G4XGNSL","short_pith_number":"pith:C3YQZUFM","schema_version":"1.0","canonical_sha256":"16f10cd0ac2b8ce59c80d8386e5ccd92f1653b189e68a1ea345c7b5eed67e1f0","source":{"kind":"arxiv","id":"1602.02237","version":1},"attestation_state":"computed","paper":{"title":"Reducing training requirements through evolutionary based dimension reduction and subject transfer","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Adham Atyabi, David M.W. Powersa, Martin Luerssena, Sean P. Fitzgibbon, Trent Lewis","submitted_at":"2016-02-06T11:12:44Z","abstract_excerpt":"Training Brain Computer Interface (BCI) systems to understand the intention of a subject through Electroencephalogram (EEG) data currently requires multiple training sessions with a subject in order to develop the necessary expertise to distinguish signals for different tasks. Conventionally the task of training the subject is done by introducing a training and calibration stage during which some feedback is presented to the subject. This training session can take several hours which is not appropriate for on-line EEG-based BCI systems. An alternative approach is to use previous recording sess"},"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":"1602.02237","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2016-02-06T11:12:44Z","cross_cats_sorted":[],"title_canon_sha256":"3d2eaef40ffdc4c9d5784f1833bc2095e3696871153b6f9a520e4ce2421aa501","abstract_canon_sha256":"6ce30d43482f7abf7cc57f57661d099b251d281b34c949b2afd434bd2092341d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:21:10.571814Z","signature_b64":"hH9+ispf6UECvoBI8Smz0AM/ufqyv7QJ44CtzkLgBksNaiuttFHUVieOzWXU2eLBS2OmJ/qDhQAgtc3HEdFbBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16f10cd0ac2b8ce59c80d8386e5ccd92f1653b189e68a1ea345c7b5eed67e1f0","last_reissued_at":"2026-05-18T01:21:10.571090Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:21:10.571090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Reducing training requirements through evolutionary based dimension reduction and subject transfer","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Adham Atyabi, David M.W. Powersa, Martin Luerssena, Sean P. Fitzgibbon, Trent Lewis","submitted_at":"2016-02-06T11:12:44Z","abstract_excerpt":"Training Brain Computer Interface (BCI) systems to understand the intention of a subject through Electroencephalogram (EEG) data currently requires multiple training sessions with a subject in order to develop the necessary expertise to distinguish signals for different tasks. Conventionally the task of training the subject is done by introducing a training and calibration stage during which some feedback is presented to the subject. This training session can take several hours which is not appropriate for on-line EEG-based BCI systems. An alternative approach is to use previous recording sess"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.02237","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":"1602.02237","created_at":"2026-05-18T01:21:10.571214+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.02237v1","created_at":"2026-05-18T01:21:10.571214+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.02237","created_at":"2026-05-18T01:21:10.571214+00:00"},{"alias_kind":"pith_short_12","alias_value":"C3YQZUFMFOGO","created_at":"2026-05-18T12:30:09.641336+00:00"},{"alias_kind":"pith_short_16","alias_value":"C3YQZUFMFOGOLHEA","created_at":"2026-05-18T12:30:09.641336+00:00"},{"alias_kind":"pith_short_8","alias_value":"C3YQZUFM","created_at":"2026-05-18T12:30:09.641336+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/C3YQZUFMFOGOLHEA3A4G4XGNSL","json":"https://pith.science/pith/C3YQZUFMFOGOLHEA3A4G4XGNSL.json","graph_json":"https://pith.science/api/pith-number/C3YQZUFMFOGOLHEA3A4G4XGNSL/graph.json","events_json":"https://pith.science/api/pith-number/C3YQZUFMFOGOLHEA3A4G4XGNSL/events.json","paper":"https://pith.science/paper/C3YQZUFM"},"agent_actions":{"view_html":"https://pith.science/pith/C3YQZUFMFOGOLHEA3A4G4XGNSL","download_json":"https://pith.science/pith/C3YQZUFMFOGOLHEA3A4G4XGNSL.json","view_paper":"https://pith.science/paper/C3YQZUFM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.02237&json=true","fetch_graph":"https://pith.science/api/pith-number/C3YQZUFMFOGOLHEA3A4G4XGNSL/graph.json","fetch_events":"https://pith.science/api/pith-number/C3YQZUFMFOGOLHEA3A4G4XGNSL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/C3YQZUFMFOGOLHEA3A4G4XGNSL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/C3YQZUFMFOGOLHEA3A4G4XGNSL/action/storage_attestation","attest_author":"https://pith.science/pith/C3YQZUFMFOGOLHEA3A4G4XGNSL/action/author_attestation","sign_citation":"https://pith.science/pith/C3YQZUFMFOGOLHEA3A4G4XGNSL/action/citation_signature","submit_replication":"https://pith.science/pith/C3YQZUFMFOGOLHEA3A4G4XGNSL/action/replication_record"}},"created_at":"2026-05-18T01:21:10.571214+00:00","updated_at":"2026-05-18T01:21:10.571214+00:00"}