Version history

{
  "kind": "infographic",
  "prompt": "The Parameter Explosion in Multi-Scale Neuromodulation Models",
  "provider": "other",
  "raw_fields": {
    "title": "The Parameter Explosion in Multi-Scale Neuromodulation Models",
    "metric": "Order of magnitude of free parameters",
    "papers": [
      {
        "doi": "aggregate",
        "value": "~5-10",
        "condition": "Gain modulation models",
        "model_scale": "Single neuron",
        "value_source_sentence": "Single-neuron gain modulation models typically have 5-10 free parameters describing receptor-specific gain functions"
      },
      {
        "doi": "aggregate",
        "value": "~50-200",
        "condition": "Microcircuit neuromodulation models",
        "model_scale": "Local circuit (~100 neurons)",
        "value_source_sentence": "Circuit-level models (microcircuit with multiple cell types and neuromodulator receptors) typically have 50-200 parameters"
      },
      {
        "doi": "aggregate",
        "value": "~1000-10000",
        "condition": "Brain-wide mean-field models",
        "model_scale": "Whole-brain (~100 regions)",
        "value_source_sentence": "Whole-brain mean-field models with region-specific neuromodulatory coupling have ~1000-10000 parameters across regions x modulators x receptor types"
      }
    ],
    "n_analyzed": "Estimated from model descriptions across literature",
    "description": "Comparison of approximate parameter counts across different scales of neuromodulation models, from single-neuron to whole-brain",
    "n_definition": "Approximate count of free parameters in published models",
    "scope_region": "Multiple scales from neuron to whole brain",
    "comparison_id": "fig_sec11_parameter_explosion",
    "taxonomic_level": "Not applicable",
    "scope_population": "Published computational models",
    "homogeneity_check": "Low homogeneity: parameter counts are estimates since many papers don't explicitly report total free parameters. 'Free parameters' is ambiguous - some include fixed biophysical constants, others only count fitted parameters. These are order-of-magnitude estimates suitable only for illustrating the scaling challenge."
  },
  "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"
}