- raw_fields
{
"n": 0,
"doi": "10.7554/elife.99808",
"claim": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.",
"evidence": "Synaptic inhibition is the mechanistic backbone of a suite of cortical functions, not the least of which are maintaining network stability and modulating neuronal gain. In cortical models with a single inhibitory neuron class, network stabilization and gain control work in opposition to one another ",
"effect_size": null,
"text_access": "fulltext",
"study_system": "cortex",
"replication_status": "replication_unknown",
"claim_source_sentence": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-00de1a2c593e"
]
- evidence_refs
[
{
"ref": "paper:paper-00de1a2c593e"
}
]- source_policy
{
"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": "df9fc7e8d455b084152c9d713558dae0013cef21",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}- evidence_summary
Synaptic inhibition is the mechanistic backbone of a suite of cortical functions, not the least of which are maintaining network stability and modulating neuronal gain. In cortical models with a single inhibitory neuron class, network stabilization and gain control work in opposition to one another