Evidence for inhibition-stabilized network regime and paradoxical SST responses

Multiple studies using different approaches (analytical, computational, experimental) converge on the finding that cortex operates in an ISN regime where SST neurons can show paradoxical responses. This comparison maps the evidence chronologically and across methods.

{
  "papers": [
    {
      "doi": "10.1016/j.neuron.2009.03.028",
      "value": "Intracellular recordings showing E and I both decrease during surround suppression in cat V1",
      "method": "intracellular recording + model",
      "metric": "ISN evidence type",
      "cite_key": "Ozeki2009",
      "condition": "surround suppression",
      "study_system": "cat V1",
      "value_source_sentence": "Although suppression has been thought to arise from an increase in lateral inhibition, we find that the inhibition that cells receive during surround suppression actually decreases along with excitation."
    },
    {
      "doi": "10.1016/j.neuron.2014.12.026",
      "value": "SSN model unifies cross-orientation suppression, surround suppression, contrast effects",
      "method": "SSN analytical framework",
      "metric": "ISN evidence type",
      "cite_key": "Rubin2015",
      "condition": "multiple visual stimulus conditions",
      "study_system": "rate model",
      "value_source_sentence": "The stabilized supralinear network: a unifying circuit motif underlying multi-input integration in sensory cortex."
    },
    {
      "doi": "10.7554/elife.29742",
      "value": "Three-interneuron model predicts SST paradoxical response reversal depending on input conditions",
      "method": "analytical + simulation",
      "metric": "ISN evidence type",
      "cite_key": "GarciadelMolino2017",
      "condition": "top-down modulation",
      "study_system": "rate model E-PV-SST-VIP",
      "value_source_sentence": "Paradoxical response reversal of top-down modulation in cortical circuits with three interneuron types."
    },
    {
      "doi": "10.1073/pnas.2311040121",
      "value": "SST response reversal coincides with change in SST indispensability for stabilization",
      "method": "stability analysis with STP",
      "metric": "ISN evidence type",
      "cite_key": "Waitzmann2024",
      "condition": "regime-dependent",
      "study_system": "analytical + computational model",
      "value_source_sentence": "Response reversal coincides with a change in the indispensability of SST for network stabilization."
    },
    {
      "doi": "10.1016/j.cub.2023.03.032",
      "value": "Paradoxical ISN effects extend to hippocampal CA1 and CA3",
      "method": "optogenetics + model",
      "metric": "ISN evidence type",
      "cite_key": "WatkinsdeJong2023",
      "condition": "in vivo",
      "study_system": "hippocampus",
      "value_source_sentence": "Optogenetics reveals paradoxical network stabilizations in hippocampal CA1 and CA3."
    }
  ],
  "comparison_id": "ISN-paradoxical-effects-evidence",
  "comparison_name": "Evidence for inhibition-stabilized network regime and paradoxical SST responses",
  "comparison_type": "convergent evidence",
  "what_it_reveals": "Multiple studies using different approaches (analytical, computational, experimental) converge on the finding that cortex operates in an ISN regime where SST neurons can show paradoxical responses. This comparison maps the evidence chronologically and across methods.",
  "homogeneity_check": {
    "caveats": "Different brain regions (V1, A1, hippocampus), different species (cat, mouse), but all testing the same theoretical prediction about paradoxical inhibition effects.",
    "comparable": true
  },
  "suggested_plot_type": "timeline"
}

[
  "paper:paper-85bafa501bc9",
  "paper:paper-9ba6315873d1",
  "paper:paper-e15053dfa039",
  "paper:paper-e67fae66877b",
  "paper:paper-f4a8cac00b71"
]

{
  "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": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
}