Version history

{
  "field_tag": "excitatory-recurrence",
  "text": "What resolves this contention: On the implication of the high binary density of the mouse cortico-cortical graph: Gămănuţ et al. argue that the 97% density reveals a qualitatively denser graph than macaque, while Beul et al.'s prediction analysis interprets the bulk of the weak links as rule-based but functionally unpredictable, suggesting that the binary-density difference is largely driven by the weak-link tail rather than by a uniform increase in connectivity strength. / The cortical network has a density of 97%, considerably higher than the 66% density reported in macaques. / Weighted medium and strong links are predictable with an 85%-90% accuracy (mouse) and 70%-80% (macaque), whereas weak links are not predictable in either species.",
  "source_refs": [
    "paper:paper-d7dd6ae02de1",
    "paper:paper-ec3295162895",
    "wiki_page:computationalreviewrecurrence-06-connectomic-micons",
    "paper:paper-d7dd6ae02de1",
    "paper:paper-ec3295162895",
    "wiki_page:computationalreviewrecurrence-06-connectomic-micons",
    "paper:paper-d7dd6ae02de1",
    "paper:paper-ec3295162895",
    "wiki_page:computationalreviewrecurrence-06-connectomic-micons"
  ],
  "importance": "0.7200",
  "tractability": "0.5500",
  "potential_impact": "0.7000",
  "composite_score": "0.2772",
  "elo_rating": "1500.00",
  "state": "open",
  "decay_rate": "0.01000",
  "resolution_evidence_refs": []
}