{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:WHO4WPTSXMKBPMBBILCK422UQ7","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"aea61e76c47efdf2ab59c03c4c9e9d09fb32428e0db91ddfac4e791e956e958a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-11-13T15:07:17Z","title_canon_sha256":"90c4762083075045ebe3bb92da6894f8fc5e3487cb0ac846afe35d99c4530160"},"schema_version":"1.0","source":{"id":"1511.04306","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.04306","created_at":"2026-05-18T01:23:15Z"},{"alias_kind":"arxiv_version","alias_value":"1511.04306v4","created_at":"2026-05-18T01:23:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.04306","created_at":"2026-05-18T01:23:15Z"},{"alias_kind":"pith_short_12","alias_value":"WHO4WPTSXMKB","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_16","alias_value":"WHO4WPTSXMKBPMBB","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_8","alias_value":"WHO4WPTS","created_at":"2026-05-18T12:29:47Z"}],"graph_snapshots":[{"event_id":"sha256:24eb5d3aa7c14e3a1b08933ec9e334a8457bdbfb8412c21323db8aa7581e9b23","target":"graph","created_at":"2026-05-18T01:23:15Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We introduce and compare several strategies for learning discriminative features from electroencephalography (EEG) recordings using deep learning techniques. EEG data are generally only available in small quantities, they are high-dimensional with a poor signal-to-noise ratio, and there is considerable variability between individual subjects and recording sessions. Our proposed techniques specifically address these challenges for feature learning. Cross-trial encoding forces auto-encoders to focus on features that are stable across trials. Similarity-constraint encoders learn features that all","authors_text":"Adrian M. Owen, Avital Sternin, Jessica A. Grahn, Sebastian Stober","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-11-13T15:07:17Z","title":"Deep Feature Learning for EEG Recordings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.04306","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1378338bc75a515bce52c113d294261a07786f9bae92a3452503476b4d8d1c41","target":"record","created_at":"2026-05-18T01:23:15Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"aea61e76c47efdf2ab59c03c4c9e9d09fb32428e0db91ddfac4e791e956e958a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-11-13T15:07:17Z","title_canon_sha256":"90c4762083075045ebe3bb92da6894f8fc5e3487cb0ac846afe35d99c4530160"},"schema_version":"1.0","source":{"id":"1511.04306","kind":"arxiv","version":4}},"canonical_sha256":"b1ddcb3e72bb1417b02142c4ae6b5487c94a832f09b01dff4036cad80200734f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1ddcb3e72bb1417b02142c4ae6b5487c94a832f09b01dff4036cad80200734f","first_computed_at":"2026-05-18T01:23:15.941878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:23:15.941878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vUbc3mgQg0zXqB8kTa1ByeJVba0zOuzs/krgkYmfKHh542eh/AeAjzzF3sGfi1qZHdfuAy3are2AQbT/TH1gCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:23:15.942474Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.04306","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1378338bc75a515bce52c113d294261a07786f9bae92a3452503476b4d8d1c41","sha256:24eb5d3aa7c14e3a1b08933ec9e334a8457bdbfb8412c21323db8aa7581e9b23"],"state_sha256":"04c690ee3f10afda3611b28a73c3eb1b7cdb6754761ae839d3d2136986f535f6"}