Details

scope
mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; bioRxiv : the preprint server for biology
claim_text
Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhi…
section_id
section_10
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_10_evidence_package.json
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-10-persistent-activity
source_kind
review_finding
source_path
evidence/section_10_evidence_package.json
study_system
mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; bioRxiv : the preprint server for biology
section_title
10. Physiological signature II — persistent activity and attractor dynamics supported by E→E recurrence (delay-period activity in mouse PFC/ALM, working memory, head-direction)
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
single_study
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-10-persistent-activity
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_10_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (7)
raw_fields
{
  "n": null,
  "doi": "10.1101/2024.12.27.630558",
  "claim": "Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhi…",
  "cite_key": "Chau2024",
  "evidence": "What are the principles that govern the responses of cortical networks to their inputs and the emergence of these responses from recurrent connectivity? Recent experiments have probed these questions by measuring cortical responses to two-photon optogenetic perturbations of single cells in the mouse primary visual cortex. A robust theoretical framework is needed to determine the implications of these responses for cortical recurrence. Here we propose a novel analytical approach: a formulation of...",
  "effect_size": "Furthermore, the length scale ofconnectivity (standard deviation 125 μm for a Gaussian spatial profile, 12) is significantly broader than the spatial radius of nearby excitation (≈70 μm, 1), and an even shorter radius of excitation (≈35 μm) is seen for multi-cell perturbations, which could not be explained by a model with a Gaussian spatial profile for each connection ().",
  "text_access": "fulltext",
  "study_system": "mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; bioRxiv : the preprint server for biology",
  "argument_role": "supporting",
  "replication_status": "single_study",
  "claim_source_sentence": "Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhibition dominates, the number of transitions between mean excitation and inhibition thereafter, and the dependence of these responses on feature preferences.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "claim_rewritten_from_source": true,
  "effect_size_source_sentence": "Furthermore, the length scale ofconnectivity (standard deviation 125 μm for a Gaussian spatial profile, 12) is significantly broader than the spatial radius of nearby excitation (≈70 μm, 1), and an even shorter radius of excitation (≈35 μm) is seen for multi-cell perturbations, which could not be explained by a model with a Gaussian spatial profile for each connection ()."
}
effect_size
Furthermore, the length scale ofconnectivity (standard deviation 125 μm for a Gaussian spatial profile, 12) is significantly broader than the spatial radius of nearby excitation (≈70 μm, 1), and an even shorter radius of excitation (≈35 μm) is seen for multi-cell perturbations, which could not be explained by a model with a Gaussian spatial profile for each connection ().
source_refs
[
  "paper:paper-2d65a3bb4e0f"
]
source_span
Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhibition dominates, the number of transitions between mean excitation and inhibition thereafter, and the dependence of these responses on feature preferences.
evidence_refs
[
  {
    "ref": "paper:paper-2d65a3bb4e0f"
  }
]
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"
}
evidence_summary
What are the principles that govern the responses of cortical networks to their inputs and the emergence of these responses from recurrent connectivity? Recent experiments have probed these questions by measuring cortical responses to two-photon optogenetic perturbations of single cells in the mouse primary visual cortex. A robust theoretical framework is needed to determine the implications of these responses for cortical recurrence. Here we propose a novel analytical approach: a formulation of...

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