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Current leader: Brain as generative model / interface (net 4.93).

guided enquiry · eo-q-brain-if-consciousness-fundamental-v1-auto
Current leader: Brain as generative model / interface (net 4.93).
status: draft · question: q:brain-if-consciousness-fundamental
{
 "eo_id": "eo:q-brain-if-consciousness-fundamental-v1-auto",
 "schema_version": 2,
 "title": "Current leader: Brain as generative model / interface (net 4.93).",
 "status": "draft",
 "question": {
  "question_id": "q:brain-if-consciousness-fundamental",
  "tension_point": "Auto-generated from graph state.",
  "why_it_matters": "Generated by state-to-eo.py from current graph.",
  "resolution_level": "local_argument"
 },
 "syllogism": {
  "pratijna": {
   "proposition": "Current leader: Brain as generative model / interface (net 4.93).",
   "what_it_claims": "Auto-generated."
  },
  "hetu": {
   "evidence": [],
   "source_ids": []
  },
  "udaharana": {
   "examples": []
  },
  "upanaya": {
   "application": "Auto-generated from graph.",
   "cruxes": [
    "Why does brain damage transform experience so precisely if the brain is not generative?",
    "Does the filter account require a mechanism, or is specifying the filtering principle sufficient?",
    "Do neural correlations reveal production, restriction, or merely parallel structure?"
   ]
  },
  "nigamana": {
   "best_current_answer": "Current leader: Brain as generative model / interface (net 4.93).",
   "status": "underdetermined",
   "scope": "Auto-generated."
  }
 },
 "candidates": [
  {
   "candidate_id": "cand:brain-as-appearance-only",
   "name": "cand:brain-as-appearance-only",
   "tradition": "unknown",
   "position": "",
   "status": "unknown",
   "support": 1.22,
   "pressure": 0.88
  },
  {
   "candidate_id": "cand:brain-as-filter",
   "name": "cand:brain-as-filter",
   "tradition": "unknown",
   "position": "",
   "status": "unknown",
   "support": 2.85,
   "pressure": 0.57
  },
  {
   "candidate_id": "cand:brain-as-interface-generative-model",
   "name": "cand:brain-as-interface-generative-model",
   "tradition": "unknown",
   "position": "",
   "status": "unknown",
   "support": 6.09,
   "pressure": 1.15
  }
 ],
 "state_of_play": {
  "summary": "Current leader: Brain as generative model / interface (net 4.93).",
  "what_survives": "3 live candidates (see graph).",
  "what_is_weakened": "0 weakened.",
  "what_would_change_our_mind": "See next tests below.",
  "open_cruxes": [
   "Why does brain damage transform experience so precisely if the brain is not generative?",
   "Does the filter account require a mechanism, or is specifying the filtering principle sufficient?",
   "Do neural correlations reveal production, restriction, or merely parallel structure?"
  ],
  "next_tests": [
   "Design and propose an experimental protocol testing categorical vs graded distinction at the agency/knowledge boundary between filter and PP predictions.",
   "Validate the māyā-scaffold hypothesis against existing DOC recovery prediction studies (parvizi & damasio, edlow datasets already in lesion-map).",
   "Add a radical-idealist primary source response to lesion predictive utility.",
   "Consider splitting Q17 into Q17a (content structuring) and Q17b (level/arousal gating) given the māyā-kañcuka distinction from content-specific kañcukas.",
   "State an operational filter prediction that distinguishes loss of content, loss of access, and loss of arousal without mapping kañcukas one-to-one onto brain regions.",
   "Generate at least one testable kañcuka-to-neural-system prediction that differs from a generic PP prediction.",
   "State a non-ad-hoc account of why neuroscience remains predictively reliable if brains are only appearances within consciousness.",
   "Separate predictive-processing as an NCC heuristic from predictive-processing as a metaphysical thesis about appearance and reality.",
   "Design and execute clinical studies that test these filter-specific differential predictions against PP null models.",
   "Run bridge probe for nn:trika:categorical_dimension_distinction vs nn:predictive_processing:graded_precision_parameterization with negative controls.",
   "Run bridge probe for nn:trika:kancuka_specific_prediction_set vs nn:clinical_neuroscience:lesion_transformation_empirics with negative controls.",
   "Run bridge probe for nn:predictive_processing:experience_as_best_hypothesis vs nn:radical_idealism:brain_as_appearance with negative controls."
  ],
  "implications": []
 },
 "provenance": {
  "created_by": "agent/state-to-eo",
  "last_updated": "2026-07-26",
  "supporting_artifacts": []
 }
}
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