{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:6TP7DAA4Q6QVD2RNWKBCYJUQYW","short_pith_number":"pith:6TP7DAA4","schema_version":"1.0","canonical_sha256":"f4dff1801c87a151ea2db2822c2690c5a05ef2cbbea61f00ade8f8b6a8ff0e79","source":{"kind":"arxiv","id":"1511.01681","version":2},"attestation_state":"computed","paper":{"title":"Hybrid scheme for modeling local field potentials from point-neuron networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"David Dahmen, Espen Hagen, Gaute T. Einevoll, Henrik Lind\\'en, Maria L. Stavrinou, Markus Diesmann, Sacha J van Albada, Sonja Gr\\\"un, Tom Tetzlaff","submitted_at":"2015-11-05T10:10:12Z","abstract_excerpt":"Due to rapid advances in multielectrode recording technology, the local field potential (LFP) has again become a popular measure of neuronal activity in both basic research and clinical applications. Proper understanding of the LFP requires detailed mathematical modeling incorporating the anatomical and electrophysiological features of neurons near the recording electrode, as well as synaptic inputs from the entire network. Here we propose a hybrid modeling scheme combining the efficiency of commonly used simplified point-neuron network models with the biophysical principles underlying LFP gen"},"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":"1511.01681","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2015-11-05T10:10:12Z","cross_cats_sorted":[],"title_canon_sha256":"ed05d80a1086e138670256c3b43870a1a3f529600165c033477ce7ff09daaf44","abstract_canon_sha256":"f705624eb9279d2b34c9ca37a8ad11be9773fadbc673cae50a918eb205fce61f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:23:17.923211Z","signature_b64":"8Tt94UX+H6KWn8lNDAUfelPmbE8wOWA61RWoobmsu+5UUTTLU8XfIhlqG1ZdyZMBQOJoi4GImU9Fs87GSUmBBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f4dff1801c87a151ea2db2822c2690c5a05ef2cbbea61f00ade8f8b6a8ff0e79","last_reissued_at":"2026-07-05T04:23:17.922729Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:23:17.922729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hybrid scheme for modeling local field potentials from point-neuron networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"David Dahmen, Espen Hagen, Gaute T. Einevoll, Henrik Lind\\'en, Maria L. Stavrinou, Markus Diesmann, Sacha J van Albada, Sonja Gr\\\"un, Tom Tetzlaff","submitted_at":"2015-11-05T10:10:12Z","abstract_excerpt":"Due to rapid advances in multielectrode recording technology, the local field potential (LFP) has again become a popular measure of neuronal activity in both basic research and clinical applications. Proper understanding of the LFP requires detailed mathematical modeling incorporating the anatomical and electrophysiological features of neurons near the recording electrode, as well as synaptic inputs from the entire network. Here we propose a hybrid modeling scheme combining the efficiency of commonly used simplified point-neuron network models with the biophysical principles underlying LFP gen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.01681","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1511.01681/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":"1511.01681","created_at":"2026-07-05T04:23:17.922792+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.01681v2","created_at":"2026-07-05T04:23:17.922792+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.01681","created_at":"2026-07-05T04:23:17.922792+00:00"},{"alias_kind":"pith_short_12","alias_value":"6TP7DAA4Q6QV","created_at":"2026-07-05T04:23:17.922792+00:00"},{"alias_kind":"pith_short_16","alias_value":"6TP7DAA4Q6QVD2RN","created_at":"2026-07-05T04:23:17.922792+00:00"},{"alias_kind":"pith_short_8","alias_value":"6TP7DAA4","created_at":"2026-07-05T04:23:17.922792+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/6TP7DAA4Q6QVD2RNWKBCYJUQYW","json":"https://pith.science/pith/6TP7DAA4Q6QVD2RNWKBCYJUQYW.json","graph_json":"https://pith.science/api/pith-number/6TP7DAA4Q6QVD2RNWKBCYJUQYW/graph.json","events_json":"https://pith.science/api/pith-number/6TP7DAA4Q6QVD2RNWKBCYJUQYW/events.json","paper":"https://pith.science/paper/6TP7DAA4"},"agent_actions":{"view_html":"https://pith.science/pith/6TP7DAA4Q6QVD2RNWKBCYJUQYW","download_json":"https://pith.science/pith/6TP7DAA4Q6QVD2RNWKBCYJUQYW.json","view_paper":"https://pith.science/paper/6TP7DAA4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.01681&json=true","fetch_graph":"https://pith.science/api/pith-number/6TP7DAA4Q6QVD2RNWKBCYJUQYW/graph.json","fetch_events":"https://pith.science/api/pith-number/6TP7DAA4Q6QVD2RNWKBCYJUQYW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6TP7DAA4Q6QVD2RNWKBCYJUQYW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6TP7DAA4Q6QVD2RNWKBCYJUQYW/action/storage_attestation","attest_author":"https://pith.science/pith/6TP7DAA4Q6QVD2RNWKBCYJUQYW/action/author_attestation","sign_citation":"https://pith.science/pith/6TP7DAA4Q6QVD2RNWKBCYJUQYW/action/citation_signature","submit_replication":"https://pith.science/pith/6TP7DAA4Q6QVD2RNWKBCYJUQYW/action/replication_record"}},"created_at":"2026-07-05T04:23:17.922792+00:00","updated_at":"2026-07-05T04:23:17.922792+00:00"}