VIP and SST interneuron classes have *complementary* contrast tuning in V1: SST…

VIP and SST interneuron classes have *complementary* contrast tuning in V1: SST cells respond exclusively at high contrast (with weak direction/orientation selectivity), VIP cells respond exclusively at low contrast (with strong direction bias for front-to-back motion). Stabilized supralinear network (SSN) modeling extended to include both classes shows VIP–SST mutual antagonism regulates cortical gain — sensitivity to weak stimuli without compromising stability.

{
  "n": null,
  "doi": "10.7554/elife.55130",
  "claim": "VIP and SST interneuron classes have *complementary* contrast tuning in V1: SST cells respond exclusively at high contrast (with weak direction/orientation selectivity), VIP cells respond exclusively at low contrast (with strong direction bias for front-to-back motion). Stabilized supralinear network (SSN) modeling extended to include both classes shows VIP–SST mutual antagonism regulates cortical gain — sensitivity to weak stimuli without compromising stability.",
  "title": null,
  "cite_key": "Millman2020",
  "evidence": "2P imaging + SSN modeling (Lee 2020)",
  "effect_size": "Complementary contrast tuning; SSN with VIP-SST mutual antagonism stable",
  "text_access": "fulltext",
  "study_system": "mouse V1 + computational modeling",
  "_source_cluster": "cluster_04_intrinsic_electrophysiology",
  "replication_status": "novel",
  "_source_cluster_index": 79,
  "claim_source_sentence": "SST neurons responded exclusively at high contrast whereas VIP neurons responded exclusively at low contrast with a strong preference for front-to-back motion.",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "Network modeling indicates that VIP-SST mutual antagonism regulates the gain of the cortex to achieve sensitivity to specific weak stimuli without compromising network stability."
}

[
  "paper:paper-f2c584233c97"
]

[
  {
    "ref": "paper:paper-f2c584233c97"
  }
]

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  "notes": [
    "Local review repositories are read-only inputs.",
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  "source_commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
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