Stimulus-dependent quenching of correlated variability across cortex is best ex…

Stimulus-dependent quenching of correlated variability across cortex is best explained by fluctuations about a single stimulus-driven attractor in a loosely balanced supralinear excitatory–inhibitory network (stochastic SSSN), rather than by multi-stable attractors or chaotic dynamics, with stimulus drive strengthening effective recurrence and shifting balance toward inhibitory feedback.

{
  "n": 0,
  "doi": "10.1016/j.neuron.2018.04.017",
  "claim": "Stimulus-dependent quenching of correlated variability across cortex is best explained by fluctuations about a single stimulus-driven attractor in a loosely balanced supralinear excitatory–inhibitory network (stochastic SSSN), rather than by multi-stable attractors or chaotic dynamics, with stimulus drive strengthening effective recurrence and shifting balance toward inhibitory feedback.",
  "cite_key": "Hennequin2018",
  "evidence": "Provides an alternative single-attractor regime that competes with multi-attractor models for explaining mouse-cortex variability statistics.",
  "effect_size": "qualitative",
  "text_access": "abstract_only",
  "study_system": "loosely balanced supralinear excitatory-inhibitory recurrent network (SSSN) compared against monkey and rodent sensory-cortex variability data",
  "argument_role": "supporting",
  "replication_status": "independently_replicated",
  "claim_source_sentence": "Here we show that a qualitatively different dynamical regime, involving fluctuations about a single, stimulus-driven attractor in a loosely balanced excitatory-inhibitory network (the stochastic \"stabilized supralinear network\"), best explains these modulations.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [
    "10.7554/elife.54875",
    "10.1523/eneuro.0459-24.2025"
  ],
  "effect_size_source_sentence": null
}

[
  "paper:paper-818c0c4864de"
]

Here we show that a qualitatively different dynamical regime, involving fluctuations about a single, stimulus-driven attractor in a loosely balanced excitatory-inhibitory network (the stochastic "stabilized supralinear network"), best explains these modulations.

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    "Local review repositories are read-only inputs.",
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