{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PU7QJHZAD2B5XVZ6C7LLJTMMVJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"60452eb49980644e6697f9f095c75b171c0a4d571405200707591d805c58dd74","cross_cats_sorted":["cs.LG","cs.NE","q-bio.NC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-06T18:58:38Z","title_canon_sha256":"34b8f0ca6a0cc82f20ff46357fe7d927223badcba4ed600dc51bbad557997e4e"},"schema_version":"1.0","source":{"id":"2302.03023","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.03023","created_at":"2026-07-05T06:47:52Z"},{"alias_kind":"arxiv_version","alias_value":"2302.03023v4","created_at":"2026-07-05T06:47:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.03023","created_at":"2026-07-05T06:47:52Z"},{"alias_kind":"pith_short_12","alias_value":"PU7QJHZAD2B5","created_at":"2026-07-05T06:47:52Z"},{"alias_kind":"pith_short_16","alias_value":"PU7QJHZAD2B5XVZ6","created_at":"2026-07-05T06:47:52Z"},{"alias_kind":"pith_short_8","alias_value":"PU7QJHZA","created_at":"2026-07-05T06:47:52Z"}],"graph_snapshots":[{"event_id":"sha256:d14897f96e75940974205599762ad5faebfe00aa9e5adf7bf43774e3119b93a2","target":"graph","created_at":"2026-07-05T06:47:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2302.03023/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate predictive models of the visual cortex neural response to natural visual stimuli remain a challenge in computational neuroscience. In this work, we introduce V1T, a novel Vision Transformer based architecture that learns a shared visual and behavioral representation across animals. We evaluate our model on two large datasets recorded from mouse primary visual cortex and outperform previous convolution-based models by more than 12.7% in prediction performance. Moreover, we show that the self-attention weights learned by the Transformer correlate with the population receptive fields. Ou","authors_text":"Arno Onken, Bryan M. Li, Isabel M. Cornacchia, Nathalie L. Rochefort","cross_cats":["cs.LG","cs.NE","q-bio.NC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-06T18:58:38Z","title":"V1T: large-scale mouse V1 response prediction using a Vision Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.03023","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:313954b0bdabd8c7b86b9717cdcae5569e4dd93ab452d008cd1091d69061ed00","target":"record","created_at":"2026-07-05T06:47:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"60452eb49980644e6697f9f095c75b171c0a4d571405200707591d805c58dd74","cross_cats_sorted":["cs.LG","cs.NE","q-bio.NC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-06T18:58:38Z","title_canon_sha256":"34b8f0ca6a0cc82f20ff46357fe7d927223badcba4ed600dc51bbad557997e4e"},"schema_version":"1.0","source":{"id":"2302.03023","kind":"arxiv","version":4}},"canonical_sha256":"7d3f049f201e83dbd73e17d6b4cd8caa4f936def484d21b081e391191d6ab473","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d3f049f201e83dbd73e17d6b4cd8caa4f936def484d21b081e391191d6ab473","first_computed_at":"2026-07-05T06:47:52.403807Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:47:52.403807Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ufySeIR7aS518VwrlEiy0jkkXSxlAvyLTYFKIY4PoX02t4Jb1tZzho7/+ofDF8hMX0fpIQmUzN1l3ifNQtz0Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:47:52.404323Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.03023","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:313954b0bdabd8c7b86b9717cdcae5569e4dd93ab452d008cd1091d69061ed00","sha256:d14897f96e75940974205599762ad5faebfe00aa9e5adf7bf43774e3119b93a2"],"state_sha256":"3848941ae50fc9784c01e8f3d5e19e7bef242941e94ac3afcfa887afeb980fad"}