Details

scope
computational model of mouse V1 multilayer microcircuit (pyramidal + PV + SST + VIP, superficial and deep)
section_id
section_04
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json
effect_size
Two ultrasensitive bistable switches per layer; cross-layer synchrony via translaminar excitatory connectivity; asymmetric frequency/power changes at transitions.
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-04-translaminar
source_kind
review_finding
source_path
evidence/section_04_evidence_package.json
source_span
The switches toggle pyramidal neurons between high and low firing rate states that are synchronized across layers through translaminar connectivity.
study_system
computational model of mouse V1 multilayer microcircuit (pyramidal + PV + SST + VIP, superficial and deep)
section_title
4. Translaminar excitatory loops in mouse — L4→L2/3→L5→L6→L4 within the column; asymmetry of forward and backward intracortical projections
evidence_summary
Biophysical / rate model of mouse V1 multilayer microcircuit with SST, PV, VIP and pyramidal populations in superficial and deep layers; analytical and numerical analysis of bistability and oscillations.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
modeling
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-04-translaminar
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (5)
claim_text
Modelling of mouse V1 multilayer microcircuits demonstrates that both superficial and deep layers implement ultrasensitive bistable switches built on mutual inhibition among SST, PV and VIP interneurons that toggle pyramidal neurons between high- and low-firing-rate states, with translaminar excitatory connectivity synchronizing the two layer-switches and producing asymmetric layer-specific oscillation frequency and power changes during state transitions.
raw_fields
{
  "n": 0,
  "doi": "10.7554/elife.77594",
  "claim": "Modelling of mouse V1 multilayer microcircuits demonstrates that both superficial and deep layers implement ultrasensitive bistable switches built on mutual inhibition among SST, PV and VIP interneurons that toggle pyramidal neurons between high- and low-firing-rate states, with translaminar excitatory connectivity synchronizing the two layer-switches and producing asymmetric layer-specific oscillation frequency and power changes during state transitions.",
  "cite_key": "Hahn2022",
  "evidence": "Biophysical / rate model of mouse V1 multilayer microcircuit with SST, PV, VIP and pyramidal populations in superficial and deep layers; analytical and numerical analysis of bistability and oscillations.",
  "effect_size": "Two ultrasensitive bistable switches per layer; cross-layer synchrony via translaminar excitatory connectivity; asymmetric frequency/power changes at transitions.",
  "text_access": "abstract_only",
  "study_system": "computational model of mouse V1 multilayer microcircuit (pyramidal + PV + SST + VIP, superficial and deep)",
  "argument_role": "supporting",
  "replication_status": "modeling",
  "claim_source_sentence": "The switches toggle pyramidal neurons between high and low firing rate states that are synchronized across layers through translaminar connectivity.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [
    "10.1371/journal.pcbi.1004090"
  ],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-bbc707d63f15"
]
evidence_refs
[
  {
    "ref": "paper:paper-bbc707d63f15"
  }
]
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"
}

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