{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:PIEXIIN55QRCXWCSYXOGUL52HL","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":"ebf74be67c3b7e022fb1a26473070bdc3914d252b6a80c640cbfea9ec14d9985","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-12-13T21:47:58Z","title_canon_sha256":"86fdc1aa23704db4ac38cac341e17111573a826c1c8f7b223485513bf899246e"},"schema_version":"1.0","source":{"id":"1812.05705","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.05705","created_at":"2026-05-17T23:57:14Z"},{"alias_kind":"arxiv_version","alias_value":"1812.05705v2","created_at":"2026-05-17T23:57:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.05705","created_at":"2026-05-17T23:57:14Z"},{"alias_kind":"pith_short_12","alias_value":"PIEXIIN55QRC","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"PIEXIIN55QRCXWCS","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"PIEXIIN5","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:c26259d654c766a1d492cdaa0800c75a609e5284213f0ab26ce0dd8e3183a3c8","target":"graph","created_at":"2026-05-17T23:57:14Z","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":"Key properties of brain-inspired hyperdimensional (HD) computing make it a prime candidate for energy-efficient and fast learning in biosignal processing. The main challenge is however to formulate embedding methods that map biosignal measures to a binary HD space. In this paper, we explore variety of such embedding methods and examine them with a challenging application of motor imagery brain-computer interface (MI-BCI) from electroencephalography (EEG) recordings. We explore embedding methods including random projections, quantization based thermometer and Gray coding, and learning HD repres","authors_text":"Abbas Rahimi, Jos\\'e del R. Mill\\'an, Luca Benini, Michael Hersche","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-12-13T21:47:58Z","title":"Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.05705","kind":"arxiv","version":2},"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:cf5427387afd2b129660a688e27b022365c605574c8f404aca6991421aaca166","target":"record","created_at":"2026-05-17T23:57:14Z","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":"ebf74be67c3b7e022fb1a26473070bdc3914d252b6a80c640cbfea9ec14d9985","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-12-13T21:47:58Z","title_canon_sha256":"86fdc1aa23704db4ac38cac341e17111573a826c1c8f7b223485513bf899246e"},"schema_version":"1.0","source":{"id":"1812.05705","kind":"arxiv","version":2}},"canonical_sha256":"7a097421bdec222bd852c5dc6a2fba3adef06f36c4849c765c62e28f2f69f075","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a097421bdec222bd852c5dc6a2fba3adef06f36c4849c765c62e28f2f69f075","first_computed_at":"2026-05-17T23:57:14.604470Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:57:14.604470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z1Y2uzGWMkS1zb4dti7CALeu5fI2j0/Gc2ZLxtXLBWtl7rmACIS3VMFjHfi/LCIfsKTpEzIbJQPeGj5nVX7oAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:57:14.605125Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.05705","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf5427387afd2b129660a688e27b022365c605574c8f404aca6991421aaca166","sha256:c26259d654c766a1d492cdaa0800c75a609e5284213f0ab26ce0dd8e3183a3c8"],"state_sha256":"0c49de6d69b6f495f4e0421cb5ff5d985b03ccc10e4a608f2e04b0511a0fca75"}