Version history

{
  "scope": "bump attractor model and reanalysis of human spatial-WM psychophysics",
  "claim_text": "Spatial working memory recall variance grows sublinearly with delay, consistent with subdiffusive (rather than purely diffusive) bump-attractor dynamics.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1162/neco_a_00698",
    "claim": "Spatial working memory recall variance grows sublinearly with delay, consistent with subdiffusive (rather than purely diffusive) bump-attractor dynamics.",
    "cite_key": "Qi2015",
    "evidence": "Bump attractor model with correlated noise plus reanalysis of human spatial-memory psychophysics; observed variance of recalled cue position grew sublinearly with delay.",
    "effect_size": "qualitative",
    "text_access": "abstract_only",
    "study_system": "bump attractor model and reanalysis of human spatial-WM psychophysics",
    "argument_role": "supporting",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "Furthermore, we reanalyze existing psychophysical data concerning the spread of recalled cue position in spatial working memory tasks and show that its variance increases sublinearly with time, consistent with subdiffusive dynamics of bump attractors.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
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  "section_id": "section_13",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_13_evidence_package.json",
  "effect_size": "qualitative",
  "review_repo": "ComputationalReviewRecurrence",
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    "paper:paper-6f65acac5807"
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  "source_span": "Furthermore, we reanalyze existing psychophysical data concerning the spread of recalled cue position in spatial working memory tasks and show that its variance increases sublinearly with time, consistent with subdiffusive dynamics of bump attractors.",
  "study_system": "bump attractor model and reanalysis of human spatial-WM psychophysics",
  "evidence_refs": [
    {
      "ref": "paper:paper-6f65acac5807"
    }
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  "section_title": "13. Attractor-network models — Hopfield, ring, line, bump; what each model requires of the cortical E→E matrix and what the mouse empirical record provides",
  "source_policy": {
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    "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"
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  "evidence_summary": "Bump attractor model with correlated noise plus reanalysis of human spatial-memory psychophysics; observed variance of recalled cue position grew sublinearly with delay.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-13-attractor-network-models",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_13_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}