{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:INBNDXKUM23NPVUGJ4LCJUQXJ6","short_pith_number":"pith:INBNDXKU","canonical_record":{"source":{"id":"1711.07258","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-11-20T11:30:15Z","cross_cats_sorted":[],"title_canon_sha256":"5cbbf34c6c8b1162ebab99a08fc749825bfdb4f68fd19fa242d2586064ae80d6","abstract_canon_sha256":"55d70e00e1a89a0144a48be860173abea80d9d206e9ade133a4ea8078ccbd0b0"},"schema_version":"1.0"},"canonical_sha256":"4342d1dd5466b6d7d6864f1624d2174fb11c649f5e47940afb4d480f13abd058","source":{"kind":"arxiv","id":"1711.07258","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.07258","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"arxiv_version","alias_value":"1711.07258v2","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.07258","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"pith_short_12","alias_value":"INBNDXKUM23N","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"INBNDXKUM23NPVUG","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"INBNDXKU","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:INBNDXKUM23NPVUGJ4LCJUQXJ6","target":"record","payload":{"canonical_record":{"source":{"id":"1711.07258","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-11-20T11:30:15Z","cross_cats_sorted":[],"title_canon_sha256":"5cbbf34c6c8b1162ebab99a08fc749825bfdb4f68fd19fa242d2586064ae80d6","abstract_canon_sha256":"55d70e00e1a89a0144a48be860173abea80d9d206e9ade133a4ea8078ccbd0b0"},"schema_version":"1.0"},"canonical_sha256":"4342d1dd5466b6d7d6864f1624d2174fb11c649f5e47940afb4d480f13abd058","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:16.472041Z","signature_b64":"sNGHNnRMaEzCoBuf1pm9AK1la1yMihdtX4RnEUzVjbC2lAcx4Ki4//hM3/Sav06/WpIOLGRMT3hkEYixDizKDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4342d1dd5466b6d7d6864f1624d2174fb11c649f5e47940afb4d480f13abd058","last_reissued_at":"2026-05-18T00:20:16.471398Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:16.471398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.07258","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:20:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V2DrzLiJUAmajOaal8xoXJ6ilEoia8DXV5eD7tYn0kuRw0QsUOQbH7boOGaa0xO74OplIcz3rOQe+n1xJ73OBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T11:23:36.400026Z"},"content_sha256":"8cf83fae3e6a2ac38f695c1da5597f4f4be2351f07e157db6d83fb1f4edad783","schema_version":"1.0","event_id":"sha256:8cf83fae3e6a2ac38f695c1da5597f4f4be2351f07e157db6d83fb1f4edad783"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:INBNDXKUM23NPVUGJ4LCJUQXJ6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Ankit N. Khambhati, Danielle S. Bassett, Denis Schwartz, Fabrizio De Vico Fallani, Laurent Hugueville, Marie-Constance Corsi, Mario Chavez","submitted_at":"2017-11-20T11:30:15Z","abstract_excerpt":"We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs). We applied our approach to a group of 15 healthy subjects and found a significant classification performance enhancement as compared to standard single-modality approaches in the alpha and beta bands. Taken together, our findings demonstrate the advantage of considering multimodal approaches as complementary tools for improving the impact of non-inv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.07258","kind":"arxiv","version":2},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:20:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G2VZ4AKj3b49xpymhYq2WG+fe27MPbzVFa4z1wFNAJFxRRNh3ahJalo/FUVCbq/LJ2EAFuFYOurqmiFETJ1HAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T11:23:36.400392Z"},"content_sha256":"f02d1a47ca6fb333f485dc017debca8de0108d154f7c9ab88d169504892a047e","schema_version":"1.0","event_id":"sha256:f02d1a47ca6fb333f485dc017debca8de0108d154f7c9ab88d169504892a047e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/INBNDXKUM23NPVUGJ4LCJUQXJ6/bundle.json","state_url":"https://pith.science/pith/INBNDXKUM23NPVUGJ4LCJUQXJ6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/INBNDXKUM23NPVUGJ4LCJUQXJ6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-25T11:23:36Z","links":{"resolver":"https://pith.science/pith/INBNDXKUM23NPVUGJ4LCJUQXJ6","bundle":"https://pith.science/pith/INBNDXKUM23NPVUGJ4LCJUQXJ6/bundle.json","state":"https://pith.science/pith/INBNDXKUM23NPVUGJ4LCJUQXJ6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/INBNDXKUM23NPVUGJ4LCJUQXJ6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:INBNDXKUM23NPVUGJ4LCJUQXJ6","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":"55d70e00e1a89a0144a48be860173abea80d9d206e9ade133a4ea8078ccbd0b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-11-20T11:30:15Z","title_canon_sha256":"5cbbf34c6c8b1162ebab99a08fc749825bfdb4f68fd19fa242d2586064ae80d6"},"schema_version":"1.0","source":{"id":"1711.07258","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.07258","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"arxiv_version","alias_value":"1711.07258v2","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.07258","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"pith_short_12","alias_value":"INBNDXKUM23N","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"INBNDXKUM23NPVUG","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"INBNDXKU","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:f02d1a47ca6fb333f485dc017debca8de0108d154f7c9ab88d169504892a047e","target":"graph","created_at":"2026-05-18T00:20:16Z","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 propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs). We applied our approach to a group of 15 healthy subjects and found a significant classification performance enhancement as compared to standard single-modality approaches in the alpha and beta bands. Taken together, our findings demonstrate the advantage of considering multimodal approaches as complementary tools for improving the impact of non-inv","authors_text":"Ankit N. Khambhati, Danielle S. Bassett, Denis Schwartz, Fabrizio De Vico Fallani, Laurent Hugueville, Marie-Constance Corsi, Mario Chavez","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-11-20T11:30:15Z","title":"Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.07258","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":"sha256:8cf83fae3e6a2ac38f695c1da5597f4f4be2351f07e157db6d83fb1f4edad783","target":"record","created_at":"2026-05-18T00:20:16Z","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":"55d70e00e1a89a0144a48be860173abea80d9d206e9ade133a4ea8078ccbd0b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-11-20T11:30:15Z","title_canon_sha256":"5cbbf34c6c8b1162ebab99a08fc749825bfdb4f68fd19fa242d2586064ae80d6"},"schema_version":"1.0","source":{"id":"1711.07258","kind":"arxiv","version":2}},"canonical_sha256":"4342d1dd5466b6d7d6864f1624d2174fb11c649f5e47940afb4d480f13abd058","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4342d1dd5466b6d7d6864f1624d2174fb11c649f5e47940afb4d480f13abd058","first_computed_at":"2026-05-18T00:20:16.471398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:16.471398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sNGHNnRMaEzCoBuf1pm9AK1la1yMihdtX4RnEUzVjbC2lAcx4Ki4//hM3/Sav06/WpIOLGRMT3hkEYixDizKDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:16.472041Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.07258","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8cf83fae3e6a2ac38f695c1da5597f4f4be2351f07e157db6d83fb1f4edad783","sha256:f02d1a47ca6fb333f485dc017debca8de0108d154f7c9ab88d169504892a047e"],"state_sha256":"32fa160ee27eee72b35c250828e28476bf4556a772ae41f5799af20d52d8b32a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p2uh86//ozRUP/qd1GPRZkWnWvPCEMXQnmG9YNX/ZEzbvrrh5mPdViraQGX5qnNmkIKClDicBOsuEFF3tL93Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T11:23:36.402424Z","bundle_sha256":"b553c54c894f2588f45476f78beb182fc19896d51cc81cc7054b58bbf6b600d8"}}