{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:2NN5LSJHCVFKNG7UB2HIAEF7H5","short_pith_number":"pith:2NN5LSJH","schema_version":"1.0","canonical_sha256":"d35bd5c927154aa69bf40e8e8010bf3f4a996e89aebe332ee2a1c57a7dbb737a","source":{"kind":"arxiv","id":"2404.16357","version":1},"attestation_state":"computed","paper":{"title":"Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"q-bio.NC","authors_text":"Jushen Wu, Quanying Liu, Yinuo Zhang, Zhichao Liang","submitted_at":"2024-04-25T06:36:00Z","abstract_excerpt":"The human brain receives complex inputs when performing cognitive tasks, which range from external inputs via the senses to internal inputs from other brain regions. However, the explicit inputs to the brain during a cognitive task remain unclear. Here, we present an input identification framework for reverse engineering the control nodes and the corresponding inputs to the brain. The framework is verified with synthetic data generated by a predefined linear system, indicating it can robustly reconstruct data and recover the inputs. Then we apply the framework to the real motor-task fMRI data "},"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":"2404.16357","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.NC","submitted_at":"2024-04-25T06:36:00Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"90995476d0ce53a0678c223f172aff3f6c90d27b233a06272c3415992e92be4a","abstract_canon_sha256":"44229ac94c56ff2ac1ced6ad68a927f516cdd40fd655dc88cef3c64e843101d0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:12:05.577168Z","signature_b64":"tkgkOJTSDJZ+JuqA1/th8jCDb2iLhxEQKIwSwXV2PYnKOZjuKJ4+nH2Da7leWlHT9SLZUz/fkhYrBNJQ/PStBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d35bd5c927154aa69bf40e8e8010bf3f4a996e89aebe332ee2a1c57a7dbb737a","last_reissued_at":"2026-07-05T08:12:05.576644Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:12:05.576644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"q-bio.NC","authors_text":"Jushen Wu, Quanying Liu, Yinuo Zhang, Zhichao Liang","submitted_at":"2024-04-25T06:36:00Z","abstract_excerpt":"The human brain receives complex inputs when performing cognitive tasks, which range from external inputs via the senses to internal inputs from other brain regions. However, the explicit inputs to the brain during a cognitive task remain unclear. Here, we present an input identification framework for reverse engineering the control nodes and the corresponding inputs to the brain. The framework is verified with synthetic data generated by a predefined linear system, indicating it can robustly reconstruct data and recover the inputs. Then we apply the framework to the real motor-task fMRI data "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16357","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.16357/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2404.16357","created_at":"2026-07-05T08:12:05.576712+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.16357v1","created_at":"2026-07-05T08:12:05.576712+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16357","created_at":"2026-07-05T08:12:05.576712+00:00"},{"alias_kind":"pith_short_12","alias_value":"2NN5LSJHCVFK","created_at":"2026-07-05T08:12:05.576712+00:00"},{"alias_kind":"pith_short_16","alias_value":"2NN5LSJHCVFKNG7U","created_at":"2026-07-05T08:12:05.576712+00:00"},{"alias_kind":"pith_short_8","alias_value":"2NN5LSJH","created_at":"2026-07-05T08:12:05.576712+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/2NN5LSJHCVFKNG7UB2HIAEF7H5","json":"https://pith.science/pith/2NN5LSJHCVFKNG7UB2HIAEF7H5.json","graph_json":"https://pith.science/api/pith-number/2NN5LSJHCVFKNG7UB2HIAEF7H5/graph.json","events_json":"https://pith.science/api/pith-number/2NN5LSJHCVFKNG7UB2HIAEF7H5/events.json","paper":"https://pith.science/paper/2NN5LSJH"},"agent_actions":{"view_html":"https://pith.science/pith/2NN5LSJHCVFKNG7UB2HIAEF7H5","download_json":"https://pith.science/pith/2NN5LSJHCVFKNG7UB2HIAEF7H5.json","view_paper":"https://pith.science/paper/2NN5LSJH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.16357&json=true","fetch_graph":"https://pith.science/api/pith-number/2NN5LSJHCVFKNG7UB2HIAEF7H5/graph.json","fetch_events":"https://pith.science/api/pith-number/2NN5LSJHCVFKNG7UB2HIAEF7H5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2NN5LSJHCVFKNG7UB2HIAEF7H5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2NN5LSJHCVFKNG7UB2HIAEF7H5/action/storage_attestation","attest_author":"https://pith.science/pith/2NN5LSJHCVFKNG7UB2HIAEF7H5/action/author_attestation","sign_citation":"https://pith.science/pith/2NN5LSJHCVFKNG7UB2HIAEF7H5/action/citation_signature","submit_replication":"https://pith.science/pith/2NN5LSJHCVFKNG7UB2HIAEF7H5/action/replication_record"}},"created_at":"2026-07-05T08:12:05.576712+00:00","updated_at":"2026-07-05T08:12:05.576712+00:00"}