{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:PF25J2K7MFZJIS34OTF5WZDIGO","short_pith_number":"pith:PF25J2K7","schema_version":"1.0","canonical_sha256":"7975d4e95f6172944b7c74cbdb646833b60e797621b431d63559d5b559c5c58b","source":{"kind":"arxiv","id":"1409.0289","version":2},"attestation_state":"computed","paper":{"title":"Scalable Inference for Neuronal Connectivity from Calcium Imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Alyson K. Fletcher, Sundeep Rangan","submitted_at":"2014-09-01T04:30:09Z","abstract_excerpt":"Fluorescent calcium imaging provides a potentially powerful tool for inferring connectivity in neural circuits with up to thousands of neurons. However, a key challenge in using calcium imaging for connectivity detection is that current systems often have a temporal response and frame rate that can be orders of magnitude slower than the underlying neural spiking process. Bayesian inference methods based on expectation-maximization (EM) have been proposed to overcome these limitations, but are often computationally demanding since the E-step in the EM procedure typically involves state estimati"},"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":"1409.0289","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-09-01T04:30:09Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"afadacb3aa24ac78296f27dad6696246513aa32474d7ee9a2ca884e574d93495","abstract_canon_sha256":"5e5074243c50842600d2bc6a5d6d09669b251b4a1d19275aee9935b6bdbd1d56"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:43:27.593794Z","signature_b64":"Q5gUKXwLhSEdsvO+eXmFuq0nFuMQ6CMnLlWkia2/6GGkCRjqq6UW51VCxM6jngt7nMdPEH3gYnW6cWcgE274DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7975d4e95f6172944b7c74cbdb646833b60e797621b431d63559d5b559c5c58b","last_reissued_at":"2026-05-18T02:43:27.593072Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:43:27.593072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Scalable Inference for Neuronal Connectivity from Calcium Imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Alyson K. Fletcher, Sundeep Rangan","submitted_at":"2014-09-01T04:30:09Z","abstract_excerpt":"Fluorescent calcium imaging provides a potentially powerful tool for inferring connectivity in neural circuits with up to thousands of neurons. However, a key challenge in using calcium imaging for connectivity detection is that current systems often have a temporal response and frame rate that can be orders of magnitude slower than the underlying neural spiking process. Bayesian inference methods based on expectation-maximization (EM) have been proposed to overcome these limitations, but are often computationally demanding since the E-step in the EM procedure typically involves state estimati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.0289","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1409.0289","created_at":"2026-05-18T02:43:27.593192+00:00"},{"alias_kind":"arxiv_version","alias_value":"1409.0289v2","created_at":"2026-05-18T02:43:27.593192+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.0289","created_at":"2026-05-18T02:43:27.593192+00:00"},{"alias_kind":"pith_short_12","alias_value":"PF25J2K7MFZJ","created_at":"2026-05-18T12:28:43.426989+00:00"},{"alias_kind":"pith_short_16","alias_value":"PF25J2K7MFZJIS34","created_at":"2026-05-18T12:28:43.426989+00:00"},{"alias_kind":"pith_short_8","alias_value":"PF25J2K7","created_at":"2026-05-18T12:28:43.426989+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/PF25J2K7MFZJIS34OTF5WZDIGO","json":"https://pith.science/pith/PF25J2K7MFZJIS34OTF5WZDIGO.json","graph_json":"https://pith.science/api/pith-number/PF25J2K7MFZJIS34OTF5WZDIGO/graph.json","events_json":"https://pith.science/api/pith-number/PF25J2K7MFZJIS34OTF5WZDIGO/events.json","paper":"https://pith.science/paper/PF25J2K7"},"agent_actions":{"view_html":"https://pith.science/pith/PF25J2K7MFZJIS34OTF5WZDIGO","download_json":"https://pith.science/pith/PF25J2K7MFZJIS34OTF5WZDIGO.json","view_paper":"https://pith.science/paper/PF25J2K7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1409.0289&json=true","fetch_graph":"https://pith.science/api/pith-number/PF25J2K7MFZJIS34OTF5WZDIGO/graph.json","fetch_events":"https://pith.science/api/pith-number/PF25J2K7MFZJIS34OTF5WZDIGO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PF25J2K7MFZJIS34OTF5WZDIGO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PF25J2K7MFZJIS34OTF5WZDIGO/action/storage_attestation","attest_author":"https://pith.science/pith/PF25J2K7MFZJIS34OTF5WZDIGO/action/author_attestation","sign_citation":"https://pith.science/pith/PF25J2K7MFZJIS34OTF5WZDIGO/action/citation_signature","submit_replication":"https://pith.science/pith/PF25J2K7MFZJIS34OTF5WZDIGO/action/replication_record"}},"created_at":"2026-05-18T02:43:27.593192+00:00","updated_at":"2026-05-18T02:43:27.593192+00:00"}