Computational analysis of brief synaptic inhibition reveals a generic mechanism…

{
  "n": null,
  "id": "cluster_11_finding_48",
  "doi": "10.1016/j.neuron.2023.01.017",
  "pmid": "36787751",
  "year": "2023",
  "claim": "Computational analysis of brief synaptic inhibition reveals a generic mechanism for sustained interruption of fast-spiking interneuron firing, providing a substrate for VIP-mediated disinhibition of cortical pyramidal cells.",
  "pmcid": "PMC10121938",
  "title": "Brief synaptic inhibition persistently interrupts firing of fast-spiking interneurons.",
  "authors": "Chamberland S, Nebet ER, Valero M, Hanani M, Egger R, Larsen SB, Eyring KW, Buzsáki G, Tsien RW.",
  "journal": "Neuron",
  "cite_key": "Chamberland2023a",
  "evidence": "Reduced single-cell models and in vitro recordings show that single IPSPs can persistently silence fast-spiking PV interneurons over hundreds of milliseconds.",
  "effect_size": null,
  "text_access": "fulltext",
  "study_system": "biophysical/conductance-based single-cell model + slice",
  "_source_cluster": "cluster_11_computational_models",
  "replication_status": "replicated_independent",
  "_source_cluster_index": 47,
  "claim_source_sentence": "VIP-INs are known to synapse on other INs in hippocampal CA1, thereby mediating disinhibition. 19 , 27 , 48 – 51 However, optogenetic activation of VIP-INs in the Vip;;Ai32 model was generally insufficient to trigger the interruption (interruption likelihood: 2.8% ± 1.5%; n = 15; Figures S4G – S4I ), unlike in Sst;;Ai32 .",
  "replication_evidence_dois": [
    "10.1016/j.neuron.2023.11.006",
    "10.1101/2025.05.13.653877",
    "10.1101/2024.09.30.615819",
    "10.1016/j.neuron.2018.03.037",
    "10.1162/netn_a_00427"
  ],
  "effect_size_source_sentence": null
}

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VIP-INs are known to synapse on other INs in hippocampal CA1, thereby mediating disinhibition. 19 , 27 , 48 – 51 However, optogenetic activation of VIP-INs in the Vip;;Ai32 model was generally insufficient to trigger the interruption (interruption likelihood: 2.8% ± 1.5%; n = 15; Figures S4G – S4I ), unlike in Sst;;Ai32 .

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  "source_commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
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