Computational Framework Coverage Across Neuromodulators

{
  "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."
}

[]

{
  "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"
}