{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:2TMYKLXEZUPT7DD3NM6VM7WLES","short_pith_number":"pith:2TMYKLXE","schema_version":"1.0","canonical_sha256":"d4d9852ee4cd1f3f8c7b6b3d567ecb248f5559497d3f25ea367dcf3a946590ba","source":{"kind":"arxiv","id":"2411.06802","version":3},"attestation_state":"computed","paper":{"title":"Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cond-mat.dis-nn","cs.NE"],"primary_cat":"q-bio.NC","authors_text":"2), (2) Laboratoire de Neurosciences Cognitives et Computationnelles, (3) Institute for Advanced Simulation (IAS-6) Computational, (4) Technion, (5) Department of Applied Mathematics, 6), (6) Allen Institute for Brain Science, Beijing Normal University, China, Computational Neuroscience Center, David Dahmen (3), Ecole Normale Superieure - PSL Research University, Eric Shea-Brown (5, France, Germany, INSERM U960, Israel, Israel Institute of Technology, J\\\"ulich Research Center, Srdjan Ostojic (2) ((1) School of Systems Science, Stefano Recanatesi (4), Systems Neuroscience, University of Washington, USA, USA), Yuxiu Shao (1","submitted_at":"2024-11-11T08:57:44Z","abstract_excerpt":"Networks of excitatory and inhibitory (EI) neurons form a canonical circuit in the brain. Seminal theoretical results on dynamics of such networks are based on the assumption that synaptic strengths depend on the type of neurons they connect, but are otherwise statistically independent. Recent synaptic physiology datasets however highlight the prominence of specific connectivity patterns that go well beyond what is expected from independent connections. While decades of influential research have demonstrated the strong role of the basic EI cell type structure, to which extent additional connec"},"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":"2411.06802","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.NC","submitted_at":"2024-11-11T08:57:44Z","cross_cats_sorted":["cond-mat.dis-nn","cs.NE"],"title_canon_sha256":"66b15ca9ba762f2e98b1e2e5d07f950f8d6379a8188c4e0122f9e2a868d9c44d","abstract_canon_sha256":"e35ec49dca74cf1797f3979c4f431ff4df5878990200348b2491e9c6cb010519"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:31:50.303055Z","signature_b64":"QDz7qvKMh4C59eYB9fFyGeLzVhTlZJToH0eY5Uu+KUhf72T1iqhDhOhOKrl10hFvEgf3aNlqMx3/Z7UpGOioDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4d9852ee4cd1f3f8c7b6b3d567ecb248f5559497d3f25ea367dcf3a946590ba","last_reissued_at":"2026-07-05T10:31:50.302019Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:31:50.302019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cond-mat.dis-nn","cs.NE"],"primary_cat":"q-bio.NC","authors_text":"2), (2) Laboratoire de Neurosciences Cognitives et Computationnelles, (3) Institute for Advanced Simulation (IAS-6) Computational, (4) Technion, (5) Department of Applied Mathematics, 6), (6) Allen Institute for Brain Science, Beijing Normal University, China, Computational Neuroscience Center, David Dahmen (3), Ecole Normale Superieure - PSL Research University, Eric Shea-Brown (5, France, Germany, INSERM U960, Israel, Israel Institute of Technology, J\\\"ulich Research Center, Srdjan Ostojic (2) ((1) School of Systems Science, Stefano Recanatesi (4), Systems Neuroscience, University of Washington, USA, USA), Yuxiu Shao (1","submitted_at":"2024-11-11T08:57:44Z","abstract_excerpt":"Networks of excitatory and inhibitory (EI) neurons form a canonical circuit in the brain. Seminal theoretical results on dynamics of such networks are based on the assumption that synaptic strengths depend on the type of neurons they connect, but are otherwise statistically independent. Recent synaptic physiology datasets however highlight the prominence of specific connectivity patterns that go well beyond what is expected from independent connections. While decades of influential research have demonstrated the strong role of the basic EI cell type structure, to which extent additional connec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.06802","kind":"arxiv","version":3},"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/2411.06802/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":"2411.06802","created_at":"2026-07-05T10:31:50.302147+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.06802v3","created_at":"2026-07-05T10:31:50.302147+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.06802","created_at":"2026-07-05T10:31:50.302147+00:00"},{"alias_kind":"pith_short_12","alias_value":"2TMYKLXEZUPT","created_at":"2026-07-05T10:31:50.302147+00:00"},{"alias_kind":"pith_short_16","alias_value":"2TMYKLXEZUPT7DD3","created_at":"2026-07-05T10:31:50.302147+00:00"},{"alias_kind":"pith_short_8","alias_value":"2TMYKLXE","created_at":"2026-07-05T10:31:50.302147+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/2TMYKLXEZUPT7DD3NM6VM7WLES","json":"https://pith.science/pith/2TMYKLXEZUPT7DD3NM6VM7WLES.json","graph_json":"https://pith.science/api/pith-number/2TMYKLXEZUPT7DD3NM6VM7WLES/graph.json","events_json":"https://pith.science/api/pith-number/2TMYKLXEZUPT7DD3NM6VM7WLES/events.json","paper":"https://pith.science/paper/2TMYKLXE"},"agent_actions":{"view_html":"https://pith.science/pith/2TMYKLXEZUPT7DD3NM6VM7WLES","download_json":"https://pith.science/pith/2TMYKLXEZUPT7DD3NM6VM7WLES.json","view_paper":"https://pith.science/paper/2TMYKLXE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.06802&json=true","fetch_graph":"https://pith.science/api/pith-number/2TMYKLXEZUPT7DD3NM6VM7WLES/graph.json","fetch_events":"https://pith.science/api/pith-number/2TMYKLXEZUPT7DD3NM6VM7WLES/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2TMYKLXEZUPT7DD3NM6VM7WLES/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2TMYKLXEZUPT7DD3NM6VM7WLES/action/storage_attestation","attest_author":"https://pith.science/pith/2TMYKLXEZUPT7DD3NM6VM7WLES/action/author_attestation","sign_citation":"https://pith.science/pith/2TMYKLXEZUPT7DD3NM6VM7WLES/action/citation_signature","submit_replication":"https://pith.science/pith/2TMYKLXEZUPT7DD3NM6VM7WLES/action/replication_record"}},"created_at":"2026-07-05T10:31:50.302147+00:00","updated_at":"2026-07-05T10:31:50.302147+00:00"}