Version history

{
  "kind": "infographic",
  "prompt": "Computational Framework Coverage Across Neuromodulators",
  "provider": "other",
  "raw_fields": {
    "title": "Computational Framework Coverage Across Neuromodulators",
    "metric": "Number of distinct computational models with empirical validation",
    "papers": [
      {
        "doi": "aggregate",
        "value": 27,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "DA-RL/RPE",
        "value_source_sentence": "Count of papers in our search matching 'DA-RL/RPE' criteria: 27"
      },
      {
        "doi": "aggregate",
        "value": 9,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "DA-precision/active_inference",
        "value_source_sentence": "Count of papers in our search matching 'DA-precision/active_inference' criteria: 9"
      },
      {
        "doi": "aggregate",
        "value": 19,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "NE-adaptive_gain",
        "value_source_sentence": "Count of papers in our search matching 'NE-adaptive_gain' criteria: 19"
      },
      {
        "doi": "aggregate",
        "value": 8,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "NE-uncertainty",
        "value_source_sentence": "Count of papers in our search matching 'NE-uncertainty' criteria: 8"
      },
      {
        "doi": "aggregate",
        "value": 21,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "NE-arousal_optimization",
        "value_source_sentence": "Count of papers in our search matching 'NE-arousal_optimization' criteria: 21"
      },
      {
        "doi": "aggregate",
        "value": 2,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "ACh-uncertainty",
        "value_source_sentence": "Count of papers in our search matching 'ACh-uncertainty' criteria: 2"
      },
      {
        "doi": "aggregate",
        "value": 9,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "ACh-attention",
        "value_source_sentence": "Count of papers in our search matching 'ACh-attention' criteria: 9"
      },
      {
        "doi": "aggregate",
        "value": 2,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "5HT-opponent",
        "value_source_sentence": "Count of papers in our search matching '5HT-opponent' criteria: 2"
      },
      {
        "doi": "aggregate",
        "value": 10,
        "condition": "Systematic search of computational neuromodulation literature",
        "framework": "Multi-modulator",
        "value_source_sentence": "Count of papers in our search matching 'Multi-modulator' criteria: 10"
      }
    ],
    "n_analyzed": "Based on systematic search of 150 papers",
    "description": "How many computational frameworks exist for each neuromodulator, and which frameworks have been validated with empirical data vs. remain purely theoretical",
    "n_definition": "Number of distinct published models per modulator-framework combination",
    "scope_region": "Brain-wide",
    "comparison_id": "fig_sec11_modulator_framework_coverage",
    "taxonomic_level": "Not applicable",
    "scope_population": "Computational neuroscience literature",
    "homogeneity_check": "Moderate homogeneity: all entries count published computational models, but 'empirical validation' ranges from fitting behavioral data to predicting neural firing patterns, creating heterogeneity in what counts as validated."
  },
  "section_id": "section_11_evidence",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewNeuromodulation/blob/95db5c630fe54e183d9c452cf826ce502d4a872d/evidence/section_11_evidence.json",
  "target_ref": "wiki_page:computationalreviewneuromodulation-11",
  "review_repo": "ComputationalReviewNeuromodulation",
  "section_ref": "wiki_page:computationalreviewneuromodulation-11",
  "source_path": "evidence/section_11_evidence.json",
  "source_refs": [],
  "section_title": "Computational Models of Brain-Wide Neuromodulation",
  "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": "95db5c630fe54e183d9c452cf826ce502d4a872d",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewNeuromodulation"
  },
  "generation_status": "complete",
  "review_bundle_ref": "analysis_bundle:ab-a3dbbaf9b625",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewNeuromodulation/blob/95db5c630fe54e183d9c452cf826ce502d4a872d/evidence/section_11_evidence.json",
  "commit_sha": "95db5c630fe54e183d9c452cf826ce502d4a872d",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewNeuromodulation"
}