{"id":"62902213bd25c7b9eeb84896b8f8397acecea2d7399005fdbddd0f0e0b8e7e92","title":"Nelson and Crofts link delay-dependent neural activity bands to a node’s phase interaction function","argument":"Martin R Nelson and Jonathan J Crofts argue that the phase interaction function of an isolated node can explain where synchrony and anti-phase locking bands occur in delay-coupled neural mass models, and why they repeat as delay increases. They calculate the function for a Wilson--Cowan model using harmonic balance, then compare its predictions with simulations of full delay-differential networks. The authors report that each band boundary corresponds to a zero of the function’s derivative, shifted by the phase lag, and that the bands repeat with the oscillation period.\n\nThe proposed explanation connects network-level patterns to individual-node dynamics. In the simulations, the approach also identifies stable twisted states in rings that random initial conditions rarely reach. The authors report a limit to the reduction: it is accurate for coupling strengths well below the node’s slowest Floquet exponent; beyond that, a phase--amplitude description is needed. For a macaque connectome, they report that metastability peaks at the edges of synchrony bands, where phase-locking stability vanishes. They propose vanishing phase-locking stability as a candidate mechanism for flexible coordination of brain dynamics; the abstract does not establish that this mechanism operates in living brains.","topicIds":["intelligence-and-discovery"],"domain":"science","claimType":"attributed reading","limits":"The evidence supplied is the arXiv abstract; it does not provide the full methods, parameter values, or detailed results needed to assess the model and simulations. The macaque connectome result is reported in the abstract; it does not establish that the proposed mechanism operates in living brains. The abstract states that the reduction has a limited coupling-strength range and that a phase--amplitude description is needed beyond it, but does not report how well that description performs.","speaker":{"name":"Nelson, Martin R, Crofts, Jonathan J","roleAtSource":"Article author"},"source":{"title":"Phase response approach to networked neural activity models with delays","publisher":"arXiv q-bio.NC","format":"Article","url":"https://arxiv.org/abs/2610.35638","publishedAt":"2026-10-26","dateBasis":"Date basis not provided."},"evidence":[{"text":"Nelson and Crofts argue that the phase interaction function of an isolated node predicts the locations and repetition of synchrony and anti-phase locking bands in delay-coupled neural mass models.","excerpt":"a single function, the phase interaction function $H$ of an isolated node, predicts where the bands occur and explains why they repeat.","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"},{"text":"For their Wilson--Cowan model, the authors say band boundaries are zeros of the derivative of the phase interaction function, shifted by the phase lag.","excerpt":"Each band boundary is a zero of $H'$ shifted by the phase lag $\\Omega\\rho$","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"},{"text":"The authors report that simulations confirm their predictions, including stable twisted states in rings that random initial conditions rarely reach.","excerpt":"Simulations of the full delay-differential networks confirm these predictions, from two nodes, where predicted frequencies agree to second order in the coupling strength, to rings, where the theory also identifies coexisting stable twisted states that random initial conditions rarely reach.","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"},{"text":"The authors say their reduction is accurate only for coupling strengths well below the node’s slowest Floquet exponent; beyond that, a phase--amplitude description is needed.","excerpt":"The reduction is accurate for coupling strengths well below the slowest Floquet exponent of the node, beyond which a phase--amplitude description is needed.","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"},{"text":"For a macaque connectome, the authors report that metastability peaks at synchrony-band edges, where phase-locking stability vanishes, and propose this as a candidate mechanism for flexible brain coordination.","excerpt":"For a macaque connectome, metastability peaks at the edges of the synchrony bands, where the stability margin of phase-locking vanishes.","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"}],"sourceMedia":{"status":"not_found","sourceUrl":"https://arxiv.org/abs/2610.35638","checkedAt":"2026-11-06T01:20:06.679Z","items":[],"note":"No suitable media was found by the supported page extraction."},"assumptions":[],"openQuestion":{"attribution":"Open question","text":"How well does the phase-based approach predict network behavior when coupling strength exceeds the range where the authors say the reduction is accurate?"},"whatWouldChangeView":{"attribution":"Change condition not recorded","text":""},"editorialComparisons":[],"live":{"title":"Nelson and Crofts link delay-dependent neural activity bands to a node’s phase interaction function","summary":"Martin R Nelson and Jonathan J Crofts argue that the phase interaction function of an isolated node can explain where synchrony and anti-phase locking bands occur in delay-coupled neural mass models, and why they repeat as delay increases. They calculate the function for a Wilson--Cowan model using harmonic balance, then compare its predictions with simulations of full delay-differential networks. The authors report that each band boundary corresponds to a zero of the function’s derivative, shifted by the phase lag, and that the bands repeat with the oscillation period.\n\nThe proposed explanation connects network-level patterns to individual-node dynamics. In the simulations, the approach also identifies stable twisted states in rings that random initial conditions rarely reach. The authors report a limit to the reduction: it is accurate for coupling strengths well below the node’s slowest Floquet exponent; beyond that, a phase--amplitude description is needed. For a macaque connectome, they report that metastability peaks at the edges of synchrony bands, where phase-locking stability vanishes. They propose vanishing phase-locking stability as a candidate mechanism for flexible coordination of brain dynamics; the abstract does not establish that this mechanism operates in living brains.","question":"How well does the phase-based approach predict network behavior when coupling strength exceeds the range where the authors say the reduction is accurate?","claims":[{"text":"Nelson and Crofts argue that the phase interaction function of an isolated node predicts the locations and repetition of synchrony and anti-phase locking bands in delay-coupled neural mass models.","excerpt":"a single function, the phase interaction function $H$ of an isolated node, predicts where the bands occur and explains why they repeat.","support":"source-stated"},{"text":"For their Wilson--Cowan model, the authors say band boundaries are zeros of the derivative of the phase interaction function, shifted by the phase lag.","excerpt":"Each band boundary is a zero of $H'$ shifted by the phase lag $\\Omega\\rho$","support":"source-stated"},{"text":"The authors report that simulations confirm their predictions, including stable twisted states in rings that random initial conditions rarely reach.","excerpt":"Simulations of the full delay-differential networks confirm these predictions, from two nodes, where predicted frequencies agree to second order in the coupling strength, to rings, where the theory also identifies coexisting stable twisted states that random initial conditions rarely reach.","support":"source-stated"},{"text":"The authors say their reduction is accurate only for coupling strengths well below the node’s slowest Floquet exponent; beyond that, a phase--amplitude description is needed.","excerpt":"The reduction is accurate for coupling strengths well below the slowest Floquet exponent of the node, beyond which a phase--amplitude description is needed.","support":"source-stated"},{"text":"For a macaque connectome, the authors report that metastability peaks at synchrony-band edges, where phase-locking stability vanishes, and propose this as a candidate mechanism for flexible brain coordination.","excerpt":"For a macaque connectome, metastability peaks at the edges of the synchrony bands, where the stability margin of phase-locking vanishes.","support":"source-stated"}],"limitations":["The evidence supplied is the arXiv abstract; it does not provide the full methods, parameter values, or detailed results needed to assess the model and simulations.","The macaque connectome result is reported in the abstract; it does not establish that the proposed mechanism operates in living brains.","The abstract states that the reduction has a limited coupling-strength range and that a phase--amplitude description is needed beyond it, but does not report how well that description performs."],"mediaId":"c7058b5f74b25bb0f6684d1a6151d41e56a842e39f32b8d8d5e17e8fcad5da1a","correctionReason":null,"id":"62902213bd25c7b9eeb84896b8f8397acecea2d7399005fdbddd0f0e0b8e7e92","publicationId":"98a42829-b62f-4cc3-827b-256caa931e68","version":1,"sourceUrl":"https://arxiv.org/abs/2610.35638","sourceTitle":"Phase response approach to networked neural activity models with delays","publisher":"arXiv q-bio.NC","publishedAt":null,"originalPublished":{"value":"2026-10-26","precision":"day","basis":"publisher_citation_date"},"firstObservedAt":"2026-10-27T04:05:25.507Z","createdAt":"2026-11-06T00:16:37.229Z","historical":true,"entityIds":["arxiv"],"topicIds":["intelligence-and-discovery"],"media":[{"id":"c7058b5f74b25bb0f6684d1a6151d41e56a842e39f32b8d8d5e17e8fcad5da1a","kind":"article","url":"https://arxiv.org/abs/2610.35638","sourceUrl":"https://arxiv.org/abs/2610.35638","label":"Read original","provenance":"source_link","verification":{"status":"verified","checkedAt":"2026-10-29T20:32:10.577Z","method":"acquired_source","contentType":"text/html"},"recommendationReason":"Recommended by Jev for understanding this source; checked by Luna."}],"sourceMedia":{"status":"not_found","sourceUrl":"https://arxiv.org/abs/2610.35638","checkedAt":"2026-11-06T01:20:06.679Z","items":[],"note":"No suitable media was found by the supported page extraction."},"editorialDecision":{"outcome":"accept","reasonCodes":["material_development"],"rubricVersion":"stream-admission-v5","mediaId":"c7058b5f74b25bb0f6684d1a6151d41e56a842e39f32b8d8d5e17e8fcad5da1a","confidence":0.55,"provider":"typesafe","model":"jev-1.13.0","inputHash":"eef5798628aa759b5fccfe2bb0854c529523b1b67665454c30b06ba6c92cee3e","decidedAt":"2026-10-29T20:32:11.156Z","redecided":{"from":"stream-admission-v5","under":"stream-admission-v5+confidence-0.5"}},"provenance":{"textHash":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","observationId":"22ae42e7e0f534bc9cf9409f27e5d01750cda6855514ba71b77d5da44a60358d","retrievedAt":"2026-10-29T20:32:10.494Z","kind":"publisher-page","preparer":{"model":"gpt-6-luna","runId":"8970b19f-2360-4609-8cfb-500858889db4"},"reviewer":{"model":"gpt-6-luna","runId":"b5d86f39-d7f8-4aec-80c8-2a196d0db652"}},"audit":{"status":"uncertain","reviewedAt":"2026-11-06T00:16:37.229Z","model":"anthropic/claude-opus-5.5"},"sourceAttribution":{"authors":[{"name":"Nelson, Martin R","url":null,"kind":"unknown"},{"name":"Crofts, Jonathan J","url":null,"kind":"unknown"}],"authorRole":"article-author","hosts":[],"status":"stated","authorRoster":{"truncated":false,"omitted":0,"assertionGroupsOmitted":0},"participation":[{"actor":{"name":"Nelson, Martin R","url":null,"kind":"unknown","actorId":null},"role":"author","scope":{"kind":"work-credit","locator":null},"literalCredit":"Nelson, Martin R","status":"stated","provenance":{"basis":"head-meta","sourceUrl":"https://arxiv.org/abs/2610.35638","locator":"head/meta[name=author|citation_author]"},"assertionId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98:participation:0","identity":{"version":"entity-identity-v1","status":"unresolved","actorId":null,"canonicalActorId":null,"candidateActorIds":[],"assertions":[],"sourceObservedAt":"2026-11-06T00:48:06.918Z","knowledgeAsOf":null},"sourceVersion":{"snapshotId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98","sourceUrl":"https://arxiv.org/abs/2610.35638","contentSha256":"4a8c3ab1e14f8e6e31df6280a9546b2a3bec08a08af581224254744b28b364a7","textHash":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","observedAt":"2026-11-06T00:48:06.918Z"}},{"actor":{"name":"Crofts, Jonathan J","url":null,"kind":"unknown","actorId":null},"role":"author","scope":{"kind":"work-credit","locator":null},"literalCredit":"Crofts, Jonathan J","status":"stated","provenance":{"basis":"head-meta","sourceUrl":"https://arxiv.org/abs/2610.35638","locator":"head/meta[name=author|citation_author]"},"assertionId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98:participation:1","identity":{"version":"entity-identity-v1","status":"unresolved","actorId":null,"canonicalActorId":null,"candidateActorIds":[],"assertions":[],"sourceObservedAt":"2026-11-06T00:48:06.918Z","knowledgeAsOf":null},"sourceVersion":{"snapshotId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98","sourceUrl":"https://arxiv.org/abs/2610.35638","contentSha256":"4a8c3ab1e14f8e6e31df6280a9546b2a3bec08a08af581224254744b28b364a7","textHash":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","observedAt":"2026-11-06T00:48:06.918Z"}}],"participationCoverage":{"total":2,"returned":2,"complete":true,"fullAssertions":"source-metadata-endpoint"},"distribution":null,"publisher":null,"sourceUrl":"https://arxiv.org/abs/2610.35638","snapshotId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98","contentSha256":"4a8c3ab1e14f8e6e31df6280a9546b2a3bec08a08af581224254744b28b364a7","textHash":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","observedAt":"2026-11-06T00:48:06.918Z","basis":"publisher-page-metadata","sourceLinks":41,"linksTruncated":false,"metadataUrl":"/api/pipeline/stream/62902213bd25c7b9eeb84896b8f8397acecea2d7399005fdbddd0f0e0b8e7e92/source"}},"canonicalUrl":"https://escapemeridian.com/readings/nelson-and-crofts-link-delay-dependent-neural-activity-bands-to-62902213","formats":{"html":"/readings/nelson-and-crofts-link-delay-dependent-neural-activity-bands-to-62902213","markdown":"/readings/nelson-and-crofts-link-delay-dependent-neural-activity-bands-to-62902213.md","json":"/readings/nelson-and-crofts-link-delay-dependent-neural-activity-bands-to-62902213.json"},"attribution":"Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.","maintainedGuideLinks":[],"readerContext":{"version":"reader-context-v1","attribution":"Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.","terms":[],"entities":[{"id":"arxiv","name":"arXiv","kind":"organization","context":"arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed.","referenceUrls":["https://arxiv.org/","https://info.arxiv.org/help/api/index.html"],"path":"/entities/arxiv","json":"/entities/arxiv.json","markdown":"/entities/arxiv.md"},{"id":"harmonic","name":"Harmonic","kind":"organization","context":"Harmonic develops systems that generate mathematical reasoning and proofs, including Aristotle.","referenceUrls":["https://www.harmonic.fun/","https://arxiv.org/abs/2510.01346v2"],"path":"/entities/harmonic","json":"/entities/harmonic.json","markdown":"/entities/harmonic.md"}]},"researchQuestions":[],"withdrawn":false,"references":{"schemaVersion":1,"target":{"type":"reading","id":"62902213bd25c7b9eeb84896b8f8397acecea2d7399005fdbddd0f0e0b8e7e92","revision":"98a42829-b62f-4cc3-827b-256caa931e68","revisionKind":"publication-id","title":"Nelson and Crofts link delay-dependent neural activity bands to a node’s phase interaction function","url":"https://escapemeridian.com/readings/nelson-and-crofts-link-delay-dependent-neural-activity-bands-to-62902213"},"source":{"type":"source","id":"https://arxiv.org/abs/2610.35638","revision":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","revisionKind":"sha256-source-text","title":"Phase response approach to networked neural activity models with delays","url":"https://arxiv.org/abs/2610.35638"},"status":"available","items":[],"next":null,"scope":"Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter."},"revisions":[{"id":"62902213bd25c7b9eeb84896b8f8397acecea2d7399005fdbddd0f0e0b8e7e92","title":"Nelson and Crofts link delay-dependent neural activity bands to a node’s phase interaction function","argument":"Martin R Nelson and Jonathan J Crofts argue that the phase interaction function of an isolated node can explain where synchrony and anti-phase locking bands occur in delay-coupled neural mass models, and why they repeat as delay increases. They calculate the function for a Wilson--Cowan model using harmonic balance, then compare its predictions with simulations of full delay-differential networks. The authors report that each band boundary corresponds to a zero of the function’s derivative, shifted by the phase lag, and that the bands repeat with the oscillation period.\n\nThe proposed explanation connects network-level patterns to individual-node dynamics. In the simulations, the approach also identifies stable twisted states in rings that random initial conditions rarely reach. The authors report a limit to the reduction: it is accurate for coupling strengths well below the node’s slowest Floquet exponent; beyond that, a phase--amplitude description is needed. For a macaque connectome, they report that metastability peaks at the edges of synchrony bands, where phase-locking stability vanishes. They propose vanishing phase-locking stability as a candidate mechanism for flexible coordination of brain dynamics; the abstract does not establish that this mechanism operates in living brains.","topicIds":["intelligence-and-discovery"],"domain":"science","claimType":"attributed reading","limits":"The evidence supplied is the arXiv abstract; it does not provide the full methods, parameter values, or detailed results needed to assess the model and simulations. The macaque connectome result is reported in the abstract; it does not establish that the proposed mechanism operates in living brains. The abstract states that the reduction has a limited coupling-strength range and that a phase--amplitude description is needed beyond it, but does not report how well that description performs.","speaker":{"name":"Nelson, Martin R, Crofts, Jonathan J","roleAtSource":"Article author"},"source":{"title":"Phase response approach to networked neural activity models with delays","publisher":"arXiv q-bio.NC","format":"Article","url":"https://arxiv.org/abs/2610.35638","publishedAt":"2026-10-26","dateBasis":"Date basis not provided."},"evidence":[{"text":"Nelson and Crofts argue that the phase interaction function of an isolated node predicts the locations and repetition of synchrony and anti-phase locking bands in delay-coupled neural mass models.","excerpt":"a single function, the phase interaction function $H$ of an isolated node, predicts where the bands occur and explains why they repeat.","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"},{"text":"For their Wilson--Cowan model, the authors say band boundaries are zeros of the derivative of the phase interaction function, shifted by the phase lag.","excerpt":"Each band boundary is a zero of $H'$ shifted by the phase lag $\\Omega\\rho$","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"},{"text":"The authors report that simulations confirm their predictions, including stable twisted states in rings that random initial conditions rarely reach.","excerpt":"Simulations of the full delay-differential networks confirm these predictions, from two nodes, where predicted frequencies agree to second order in the coupling strength, to rings, where the theory also identifies coexisting stable twisted states that random initial conditions rarely reach.","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"},{"text":"The authors say their reduction is accurate only for coupling strengths well below the node’s slowest Floquet exponent; beyond that, a phase--amplitude description is needed.","excerpt":"The reduction is accurate for coupling strengths well below the slowest Floquet exponent of the node, beyond which a phase--amplitude description is needed.","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"},{"text":"For a macaque connectome, the authors report that metastability peaks at synchrony-band edges, where phase-locking stability vanishes, and propose this as a candidate mechanism for flexible brain coordination.","excerpt":"For a macaque connectome, metastability peaks at the edges of the synchrony bands, where the stability margin of phase-locking vanishes.","url":"https://arxiv.org/abs/2610.35638","relationship":"Source-stated"}],"sourceMedia":{"status":"not_found","sourceUrl":"https://arxiv.org/abs/2610.35638","checkedAt":"2026-11-06T01:20:06.679Z","items":[],"note":"No suitable media was found by the supported page extraction."},"assumptions":[],"openQuestion":{"attribution":"Open question","text":"How well does the phase-based approach predict network behavior when coupling strength exceeds the range where the authors say the reduction is accurate?"},"whatWouldChangeView":{"attribution":"Change condition not recorded","text":""},"editorialComparisons":[],"live":{"title":"Nelson and Crofts link delay-dependent neural activity bands to a node’s phase interaction function","summary":"Martin R Nelson and Jonathan J Crofts argue that the phase interaction function of an isolated node can explain where synchrony and anti-phase locking bands occur in delay-coupled neural mass models, and why they repeat as delay increases. They calculate the function for a Wilson--Cowan model using harmonic balance, then compare its predictions with simulations of full delay-differential networks. The authors report that each band boundary corresponds to a zero of the function’s derivative, shifted by the phase lag, and that the bands repeat with the oscillation period.\n\nThe proposed explanation connects network-level patterns to individual-node dynamics. In the simulations, the approach also identifies stable twisted states in rings that random initial conditions rarely reach. The authors report a limit to the reduction: it is accurate for coupling strengths well below the node’s slowest Floquet exponent; beyond that, a phase--amplitude description is needed. For a macaque connectome, they report that metastability peaks at the edges of synchrony bands, where phase-locking stability vanishes. They propose vanishing phase-locking stability as a candidate mechanism for flexible coordination of brain dynamics; the abstract does not establish that this mechanism operates in living brains.","question":"How well does the phase-based approach predict network behavior when coupling strength exceeds the range where the authors say the reduction is accurate?","claims":[{"text":"Nelson and Crofts argue that the phase interaction function of an isolated node predicts the locations and repetition of synchrony and anti-phase locking bands in delay-coupled neural mass models.","excerpt":"a single function, the phase interaction function $H$ of an isolated node, predicts where the bands occur and explains why they repeat.","support":"source-stated"},{"text":"For their Wilson--Cowan model, the authors say band boundaries are zeros of the derivative of the phase interaction function, shifted by the phase lag.","excerpt":"Each band boundary is a zero of $H'$ shifted by the phase lag $\\Omega\\rho$","support":"source-stated"},{"text":"The authors report that simulations confirm their predictions, including stable twisted states in rings that random initial conditions rarely reach.","excerpt":"Simulations of the full delay-differential networks confirm these predictions, from two nodes, where predicted frequencies agree to second order in the coupling strength, to rings, where the theory also identifies coexisting stable twisted states that random initial conditions rarely reach.","support":"source-stated"},{"text":"The authors say their reduction is accurate only for coupling strengths well below the node’s slowest Floquet exponent; beyond that, a phase--amplitude description is needed.","excerpt":"The reduction is accurate for coupling strengths well below the slowest Floquet exponent of the node, beyond which a phase--amplitude description is needed.","support":"source-stated"},{"text":"For a macaque connectome, the authors report that metastability peaks at synchrony-band edges, where phase-locking stability vanishes, and propose this as a candidate mechanism for flexible brain coordination.","excerpt":"For a macaque connectome, metastability peaks at the edges of the synchrony bands, where the stability margin of phase-locking vanishes.","support":"source-stated"}],"limitations":["The evidence supplied is the arXiv abstract; it does not provide the full methods, parameter values, or detailed results needed to assess the model and simulations.","The macaque connectome result is reported in the abstract; it does not establish that the proposed mechanism operates in living brains.","The abstract states that the reduction has a limited coupling-strength range and that a phase--amplitude description is needed beyond it, but does not report how well that description performs."],"mediaId":"c7058b5f74b25bb0f6684d1a6151d41e56a842e39f32b8d8d5e17e8fcad5da1a","correctionReason":null,"id":"62902213bd25c7b9eeb84896b8f8397acecea2d7399005fdbddd0f0e0b8e7e92","publicationId":"98a42829-b62f-4cc3-827b-256caa931e68","version":1,"sourceUrl":"https://arxiv.org/abs/2610.35638","sourceTitle":"Phase response approach to networked neural activity models with delays","publisher":"arXiv q-bio.NC","publishedAt":null,"originalPublished":{"value":"2026-10-26","precision":"day","basis":"publisher_citation_date"},"firstObservedAt":"2026-10-27T04:05:25.507Z","createdAt":"2026-11-06T00:16:37.229Z","historical":true,"entityIds":["arxiv"],"topicIds":["intelligence-and-discovery"],"media":[{"id":"c7058b5f74b25bb0f6684d1a6151d41e56a842e39f32b8d8d5e17e8fcad5da1a","kind":"article","url":"https://arxiv.org/abs/2610.35638","sourceUrl":"https://arxiv.org/abs/2610.35638","label":"Read original","provenance":"source_link","verification":{"status":"verified","checkedAt":"2026-10-29T20:32:10.577Z","method":"acquired_source","contentType":"text/html"},"recommendationReason":"Recommended by Jev for understanding this source; checked by Luna."}],"sourceMedia":{"status":"not_found","sourceUrl":"https://arxiv.org/abs/2610.35638","checkedAt":"2026-11-06T01:20:06.679Z","items":[],"note":"No suitable media was found by the supported page extraction."},"editorialDecision":{"outcome":"accept","reasonCodes":["material_development"],"rubricVersion":"stream-admission-v5","mediaId":"c7058b5f74b25bb0f6684d1a6151d41e56a842e39f32b8d8d5e17e8fcad5da1a","confidence":0.55,"provider":"typesafe","model":"jev-1.13.0","inputHash":"eef5798628aa759b5fccfe2bb0854c529523b1b67665454c30b06ba6c92cee3e","decidedAt":"2026-10-29T20:32:11.156Z","redecided":{"from":"stream-admission-v5","under":"stream-admission-v5+confidence-0.5"}},"provenance":{"textHash":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","observationId":"22ae42e7e0f534bc9cf9409f27e5d01750cda6855514ba71b77d5da44a60358d","retrievedAt":"2026-10-29T20:32:10.494Z","kind":"publisher-page","preparer":{"model":"gpt-6-luna","runId":"8970b19f-2360-4609-8cfb-500858889db4"},"reviewer":{"model":"gpt-6-luna","runId":"b5d86f39-d7f8-4aec-80c8-2a196d0db652"}},"audit":{"status":"uncertain","reviewedAt":"2026-11-06T00:16:37.229Z","model":"anthropic/claude-opus-5.5"},"sourceAttribution":{"authors":[{"name":"Nelson, Martin R","url":null,"kind":"unknown"},{"name":"Crofts, Jonathan J","url":null,"kind":"unknown"}],"authorRole":"article-author","hosts":[],"status":"stated","authorRoster":{"truncated":false,"omitted":0,"assertionGroupsOmitted":0},"participation":[{"actor":{"name":"Nelson, Martin R","url":null,"kind":"unknown","actorId":null},"role":"author","scope":{"kind":"work-credit","locator":null},"literalCredit":"Nelson, Martin R","status":"stated","provenance":{"basis":"head-meta","sourceUrl":"https://arxiv.org/abs/2610.35638","locator":"head/meta[name=author|citation_author]"},"assertionId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98:participation:0","identity":{"version":"entity-identity-v1","status":"unresolved","actorId":null,"canonicalActorId":null,"candidateActorIds":[],"assertions":[],"sourceObservedAt":"2026-11-06T00:48:06.918Z","knowledgeAsOf":null},"sourceVersion":{"snapshotId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98","sourceUrl":"https://arxiv.org/abs/2610.35638","contentSha256":"4a8c3ab1e14f8e6e31df6280a9546b2a3bec08a08af581224254744b28b364a7","textHash":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","observedAt":"2026-11-06T00:48:06.918Z"}},{"actor":{"name":"Crofts, Jonathan J","url":null,"kind":"unknown","actorId":null},"role":"author","scope":{"kind":"work-credit","locator":null},"literalCredit":"Crofts, Jonathan J","status":"stated","provenance":{"basis":"head-meta","sourceUrl":"https://arxiv.org/abs/2610.35638","locator":"head/meta[name=author|citation_author]"},"assertionId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98:participation:1","identity":{"version":"entity-identity-v1","status":"unresolved","actorId":null,"canonicalActorId":null,"candidateActorIds":[],"assertions":[],"sourceObservedAt":"2026-11-06T00:48:06.918Z","knowledgeAsOf":null},"sourceVersion":{"snapshotId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98","sourceUrl":"https://arxiv.org/abs/2610.35638","contentSha256":"4a8c3ab1e14f8e6e31df6280a9546b2a3bec08a08af581224254744b28b364a7","textHash":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","observedAt":"2026-11-06T00:48:06.918Z"}}],"participationCoverage":{"total":2,"returned":2,"complete":true,"fullAssertions":"source-metadata-endpoint"},"distribution":null,"publisher":null,"sourceUrl":"https://arxiv.org/abs/2610.35638","snapshotId":"f871b05c57f74c90a8f8701487c45d046480c6fac3dd511d28558cb6611afe98","contentSha256":"4a8c3ab1e14f8e6e31df6280a9546b2a3bec08a08af581224254744b28b364a7","textHash":"21a1941f9b80116e5698135b7eb97239ea277a26fc7415ab0d9850b64c24fa61","observedAt":"2026-11-06T00:48:06.918Z","basis":"publisher-page-metadata","sourceLinks":41,"linksTruncated":false,"metadataUrl":"/api/pipeline/stream/62902213bd25c7b9eeb84896b8f8397acecea2d7399005fdbddd0f0e0b8e7e92/source"}}}],"audits":[{"publicationId":"98a42829-b62f-4cc3-827b-256caa931e68","verdict":"uncertain","findings":[{"dimension":"attribution","status":"pass","explanation":"The reading correctly attributes the paper and its claims to Martin R Nelson and Jonathan J Crofts. It keeps findings framed as the authors' arguments and reports.","excerpt":"Authors:Martin R Nelson, Jonathan J Crofts"},{"dimension":"summary","status":"uncertain","explanation":"The content is faithful, but central terms go unexplained for a non-specialist: neural mass model, synchrony vs anti-phase locking bands, phase interaction function, harmonic balance, Floquet exponent, twisted states, connectome, metastability. Readers cannot tell what the bands are or why brain-region delays matter. Smallest repair: one plain-language sentence on what is being modeled, plus term-library tooltips. 'In the simulations, the approach also identifies' slightly blurs theory and simulation. The source credits the theory with identifying twisted states. The question and the remaining framing are sound.","excerpt":"Networks of delay-coupled neural mass models alternate between synchrony and anti-phase locking as the delay between brain regions increases."},{"dimension":"date","status":"pass","explanation":"originalPublished 2026-10-26 matches the arXiv v1 submission date. The feed date of Oct 27 is a later announcement.","excerpt":"[Submitted on 26 Oct 2026]"},{"dimension":"support","status":"pass","explanation":"Each claim is directly supported by abstract text. The limitations appropriately note that the evidence is abstract-only and that living-brain operation is unestablished. The question follows from the stated validity limit without presuming an answer.","excerpt":"The reduction is accurate for coupling strengths well below the slowest Floquet exponent of the node, beyond which a phase--amplitude description is needed."},{"dimension":"media","status":"pass","explanation":"The selected media is the verified arXiv abstract page for this paper, which is the direct original source.","excerpt":null}],"createdAt":"2026-11-06T00:16:37.229Z","model":"anthropic/claude-opus-5.5"}],"correctionUrl":"https://escapemeridian.com/corrections/"}