Version history

{
  "scope": "mouse posterior parietal cortex; two-photon calcium imaging during virtual evidence-accumulation task",
  "claim_text": "Mouse posterior parietal cortex dynamics during a virtual-navigation evidence-accumulation task transition rapidly between distinct activity patterns, and each evidence cue or behavioural choice produces seconds-long modifications to transition probabilities — implementing accumulation through dynamical short-term memory rather than explicit winner-take-all competition.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1038/nn.4403",
    "claim": "Mouse posterior parietal cortex dynamics during a virtual-navigation evidence-accumulation task transition rapidly between distinct activity patterns, and each evidence cue or behavioural choice produces seconds-long modifications to transition probabilities — implementing accumulation through dynamical short-term memory rather than explicit winner-take-all competition.",
    "cite_key": "Morcos2016",
    "evidence": "Argues against winner-take-all attractor explanations of accumulation in PPC.",
    "effect_size": "",
    "text_access": "abstract_only",
    "study_system": "mouse posterior parietal cortex; two-photon calcium imaging during virtual evidence-accumulation task",
    "argument_role": "supporting",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "Each event in a trial, whether an evidence cue or a behavioral choice, caused seconds-long modifications to the probabilities that govern how one activity pattern transitions to the next, forming a short-term memory.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [
      "10.1038/nature10918"
    ],
    "effect_size_source_sentence": null
  },
  "section_id": "section_10",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_10_evidence_package.json",
  "effect_size": "",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-10-persistent-activity",
  "source_kind": "review_finding",
  "source_path": "evidence/section_10_evidence_package.json",
  "source_refs": [
    "paper:paper-58ff0126fc30"
  ],
  "source_span": "Each event in a trial, whether an evidence cue or a behavioral choice, caused seconds-long modifications to the probabilities that govern how one activity pattern transitions to the next, forming a short-term memory.",
  "study_system": "mouse posterior parietal cortex; two-photon calcium imaging during virtual evidence-accumulation task",
  "evidence_refs": [
    {
      "ref": "paper:paper-58ff0126fc30"
    }
  ],
  "section_title": "10. Physiological signature II — persistent activity and attractor dynamics supported by E→E recurrence (delay-period activity in mouse PFC/ALM, working memory, head-direction)",
  "source_policy": {
    "mode": "public_source_pointer_with_short_context",
    "notes": [
      "Local review repositories are read-only inputs.",
      "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
    ],
    "source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
  },
  "evidence_summary": "Argues against winner-take-all attractor explanations of accumulation in PPC.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "independently_replicated",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-10-persistent-activity",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_10_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}