{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:CVGSAJJ6O74NVVEPPSUSO7POAM","short_pith_number":"pith:CVGSAJJ6","schema_version":"1.0","canonical_sha256":"154d20253e77f8dad48f7ca9277dee031ff3eb96495da2962b3ea1e5a669c233","source":{"kind":"arxiv","id":"1111.0097","version":2},"attestation_state":"computed","paper":{"title":"Adaptive probabilistic neural coding from deterministic spiking neurons: analysis from first principles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Adrienne Fairhall, Michael Famulare","submitted_at":"2011-11-01T00:57:39Z","abstract_excerpt":"A neuron transforms its input into output spikes, and this transformation is the basic unit of computation in the nervous system. The spiking response of the neuron to a complex, time-varying input can be predicted from the detailed biophysical properties of the neuron, modeled as a deterministic nonlinear dynamical system. In the tradition of neural coding, however, a neuron or neural system is treated as a black box and statistical techniques are used to identify functional models of its encoding properties. The goal of this work is to connect the mechanistic, biophysical approach to neurona"},"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":"1111.0097","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2011-11-01T00:57:39Z","cross_cats_sorted":[],"title_canon_sha256":"b7af2f71b59351dd4485d32bc6f6a107dbca3a770b7375f7ac73c51f3698ea08","abstract_canon_sha256":"5e2dfd9a38dd6440257418aed22138f2acb1f055be2d47fda4d5be32425d6af5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:06:09.303146Z","signature_b64":"KS8UBI+JjY3xSyfc/8ykIDQd8hLs/XdHrejQAIsK6KFTfoPuIeAIlh3l+19tbx8PVL8vV/6XsgjRf42a+mLNCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"154d20253e77f8dad48f7ca9277dee031ff3eb96495da2962b3ea1e5a669c233","last_reissued_at":"2026-05-18T04:06:09.302724Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:06:09.302724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Adaptive probabilistic neural coding from deterministic spiking neurons: analysis from first principles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Adrienne Fairhall, Michael Famulare","submitted_at":"2011-11-01T00:57:39Z","abstract_excerpt":"A neuron transforms its input into output spikes, and this transformation is the basic unit of computation in the nervous system. The spiking response of the neuron to a complex, time-varying input can be predicted from the detailed biophysical properties of the neuron, modeled as a deterministic nonlinear dynamical system. In the tradition of neural coding, however, a neuron or neural system is treated as a black box and statistical techniques are used to identify functional models of its encoding properties. The goal of this work is to connect the mechanistic, biophysical approach to neurona"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1111.0097","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":"1111.0097","created_at":"2026-05-18T04:06:09.302786+00:00"},{"alias_kind":"arxiv_version","alias_value":"1111.0097v2","created_at":"2026-05-18T04:06:09.302786+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1111.0097","created_at":"2026-05-18T04:06:09.302786+00:00"},{"alias_kind":"pith_short_12","alias_value":"CVGSAJJ6O74N","created_at":"2026-05-18T12:26:26.731475+00:00"},{"alias_kind":"pith_short_16","alias_value":"CVGSAJJ6O74NVVEP","created_at":"2026-05-18T12:26:26.731475+00:00"},{"alias_kind":"pith_short_8","alias_value":"CVGSAJJ6","created_at":"2026-05-18T12:26:26.731475+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/CVGSAJJ6O74NVVEPPSUSO7POAM","json":"https://pith.science/pith/CVGSAJJ6O74NVVEPPSUSO7POAM.json","graph_json":"https://pith.science/api/pith-number/CVGSAJJ6O74NVVEPPSUSO7POAM/graph.json","events_json":"https://pith.science/api/pith-number/CVGSAJJ6O74NVVEPPSUSO7POAM/events.json","paper":"https://pith.science/paper/CVGSAJJ6"},"agent_actions":{"view_html":"https://pith.science/pith/CVGSAJJ6O74NVVEPPSUSO7POAM","download_json":"https://pith.science/pith/CVGSAJJ6O74NVVEPPSUSO7POAM.json","view_paper":"https://pith.science/paper/CVGSAJJ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1111.0097&json=true","fetch_graph":"https://pith.science/api/pith-number/CVGSAJJ6O74NVVEPPSUSO7POAM/graph.json","fetch_events":"https://pith.science/api/pith-number/CVGSAJJ6O74NVVEPPSUSO7POAM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CVGSAJJ6O74NVVEPPSUSO7POAM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CVGSAJJ6O74NVVEPPSUSO7POAM/action/storage_attestation","attest_author":"https://pith.science/pith/CVGSAJJ6O74NVVEPPSUSO7POAM/action/author_attestation","sign_citation":"https://pith.science/pith/CVGSAJJ6O74NVVEPPSUSO7POAM/action/citation_signature","submit_replication":"https://pith.science/pith/CVGSAJJ6O74NVVEPPSUSO7POAM/action/replication_record"}},"created_at":"2026-05-18T04:06:09.302786+00:00","updated_at":"2026-05-18T04:06:09.302786+00:00"}