Modeling Inhibitory Diversity figure 1

{
  "papers": [
    {
      "doi": "10.1371/journal.pcbi.1013465",
      "value": "2",
      "cite_key": null,
      "model_type": "single_I",
      "value_unit": "populations",
      "scope_region": "generic cortex",
      "scope_population": "rate-based populations",
      "phenomena_explained": "gamma oscillations, E-I balance, gain control",
      "value_source_sentence": "The classical two-population model consisting of one excitatory and one inhibitory population captures balanced E/I activity."
    },
    {
      "doi": "10.1073/pnas.1700080115",
      "value": "2-3",
      "cite_key": "Kraynyukova2018",
      "model_type": "ISN/SSN",
      "value_unit": "populations with nonlinear transfer",
      "scope_region": "V1",
      "scope_population": "supralinear rate populations",
      "phenomena_explained": "surround suppression, normalization, paradoxical response, contrast gain",
      "value_source_sentence": "Here, we show that the stabilized supralinear network (SSN) model, which was originally proposed for sensory integration phenomena such as contrast invariance, normalization, and surround suppression, can give rise to dynamic cortical features of working memory, persistent activity, and rhythm gener"
    },
    {
      "doi": "10.1152/jn.00732.2015",
      "value": "3",
      "cite_key": "Litwin-Kumar2016",
      "model_type": "three_population",
      "value_unit": "populations (E-PV-SST)",
      "scope_region": "V1/cortex",
      "scope_population": "E, PV, SST populations",
      "phenomena_explained": "gain modulation, divisive normalization, activity-dependent plasticity, surround suppression, orientation selectivity",
      "value_source_sentence": "We study the dynamics of recurrent excitatory-inhibitory model cortical networks with parvalbumin (PV)-, somatostatin (SOM)-, and vasointestinal peptide-expressing (VIP) interneurons, with connectivity properties motivated by experimental recordings from mouse primary visual cortex."
    },
    {
      "doi": "10.1016/j.neuron.2024.02.008",
      "value": "4",
      "cite_key": "Piet2024",
      "model_type": "four_population",
      "value_unit": "populations (E-PV-SST-VIP)",
      "scope_region": "cortex",
      "scope_population": "E, PV, SST, VIP populations",
      "phenomena_explained": "disinhibition, top-down attention, context-dependent gain, state-dependent processing",
      "value_source_sentence": "We find that the diversity of neural correlates of strategy can be understood parsimoniously as the increased activation of the Vip-Sst disinhibitory circuit during the visual comparison strategy, which facilitates task-appropriate responses."
    }
  ],
  "description": "Comparison of model complexity levels and the phenomena they can explain, from single inhibitory population models through ISN/SSN to multi-type (E-PV-SST-VIP) models",
  "n_definition": "number of cell populations in model",
  "comparison_type": "model_complexity_progression",
  "taxonomic_level": "N/A - model comparison",
  "comparison_title": "Model complexity vs. explanatory power: From single-I to four-population models",
  "homogeneity_check": "Models differ fundamentally in their level of abstraction. Comparison is conceptual rather than quantitative — the \"value\" is the number of distinct populations, which determines the space of phenomena each model can address."
}

[
  "paper:paper-5989bc007d71",
  "paper:paper-8f25714ab7fe",
  "paper:paper-9f08cc63cc18",
  "paper:pmid:38447579"
]

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  "notes": [
    "Local review repositories are read-only inputs.",
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  "source_commit_sha": "934e0675cc6d5ffd9978a4a9883b31166ce000e2",
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