- claim_text
In recurrent cortical circuits with strong but balanced excitation and inhibition, 'balanced amplification' arises as a non-normal mechanism that selectively amplifies activity patterns without slowing dynamics — providing the theoretical framework for E→E recurrent gain in cortex.
- raw_fields
{
"n": 0,
"doi": "10.1016/j.neuron.2009.02.005",
"claim": "In recurrent cortical circuits with strong but balanced excitation and inhibition, 'balanced amplification' arises as a non-normal mechanism that selectively amplifies activity patterns without slowing dynamics — providing the theoretical framework for E→E recurrent gain in cortex.",
"cite_key": "Murphy2009",
"evidence": "Linear analysis of E/I recurrent network with Dale's law shows non-normal dynamics with hidden feedforward connectivity between activity patterns; biophysical model reproduces V1 ongoing activity statistics.",
"effect_size": "qualitative — non-normal amplification arises in any balanced E/I recurrent network",
"text_access": "fulltext",
"study_system": "Theoretical model; biophysical simulations referenced to cat V1 data",
"argument_role": "supporting",
"replication_status": "independently_replicated",
"claim_source_sentence": "When excitation and inhibition are both strong but balanced, as is thought to be the case in cerebral cortex, balanced amplification arises: small patterned fluctuations of the difference between excitation and inhibition drive large patterned fluctuations of the sum.",
"source_provenance_status": "ok",
"replication_evidence_dois": [
"10.1103/PhysRevE.86.011909",
"10.1016/j.neuron.2018.02.031",
"10.1016/j.neuron.2023.11.005"
],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-73146022940d"
]
- source_span
When excitation and inhibition are both strong but balanced, as is thought to be the case in cerebral cortex, balanced amplification arises: small patterned fluctuations of the difference between excitation and inhibition drive large patterned fluctuations of the sum.
- evidence_refs
[
{
"ref": "paper:paper-73146022940d"
}
]- 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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}