Details

scope
Distinct recruitment of feedforward and recurrent pathways across higher-order areas of mouse visual cortex.
claim_text
Mouse HVAs — cell-type-specific (PV vs SOM) STP from L2/3 Pyr to IN is conserved across areas; relevant baseline for excitatory drive of recurrent inhibition.
section_id
section_03
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_03_evidence_package.json
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-03-paired-recording
source_kind
review_finding
source_path
evidence/section_03_evidence_package.json
study_system
Distinct recruitment of feedforward and recurrent pathways across higher-order areas of mouse visual cortex.
section_title
3. Paired-recording evidence in mouse — connection probabilities and synaptic strengths between pyramidal cells within a column, layer-by-layer (Lefort, Petersen, Adesnik, Feldmeyer, Markram-style work in mouse)
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
unevaluated
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-03-paired-recording
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_03_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (6)
raw_fields
{
  "n": null,
  "doi": "10.1016/j.cub.2021.09.042",
  "claim": "Mouse HVAs — cell-type-specific (PV vs SOM) STP from L2/3 Pyr to IN is conserved across areas; relevant baseline for excitatory drive of recurrent inhibition.",
  "cite_key": "Li2021a",
  "evidence": "Cortical visual processing transforms features of the external world into increasingly complex and specialized neuronal representations. These transformations arise in part through target-specific routing of information; however, within-area computations may also contribute to area-specific function. Here, we sought to determine whether higher order visual cortical areas lateromedial (LM), anterolateral (AL), posteromedial (PM), and anteromedial (AM) have specialized anatomical and physiological properties by using a combination of whole-cell recordings and optogenetic stimulation of primary visual cortex (V1) axons in vitro. We discovered area-specific differences in the strength of recruitment of interneurons through feedforward and recurrent pathways, as well as differences in cell-intrinsic properties and interneuron densities. These differences were most striking when comparing across medial and lateral areas, suggesting that these areas have distinct profiles for net excitability and integration of V1 inputs. Thus, cortical areas are not defined simply by the information they receive but also by area-specific circuit properties that enable specialized filtering of these",
  "effect_size": null,
  "text_access": "fulltext",
  "study_system": "Distinct recruitment of feedforward and recurrent pathways across higher-order areas of mouse visual cortex.",
  "argument_role": "supporting",
  "replication_status": null,
  "claim_source_sentence": "Short-term plasticity of unitary connections differs by interneuron type (one-way ANOVA Pyr→IN P10/P1, PV vs SOM, p<0.001; IN→Pyr P10/P1, p<0.001), but within each cell type there are no differences in paired-pulse ratios between mouse higher visual areas.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-21937e5a070f"
]
source_span
Short-term plasticity of unitary connections differs by interneuron type (one-way ANOVA Pyr→IN P10/P1, PV vs SOM, p<0.001; IN→Pyr P10/P1, p<0.001), but within each cell type there are no differences in paired-pulse ratios between mouse higher visual areas.
evidence_refs
[
  {
    "ref": "paper:paper-21937e5a070f"
  }
]
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
Cortical visual processing transforms features of the external world into increasingly complex and specialized neuronal representations. These transformations arise in part through target-specific routing of information; however, within-area computations may also contribute to area-specific function. Here, we sought to determine whether higher order visual cortical areas lateromedial (LM), anterolateral (AL), posteromedial (PM), and anteromedial (AM) have specialized anatomical and physiological properties by using a combination of whole-cell recordings and optogenetic stimulation of primary visual cortex (V1) axons in&#xa0;vitro. We discovered area-specific differences in the strength of recruitment of interneurons through feedforward and recurrent pathways, as well as differences in cell-intrinsic properties and interneuron densities. These differences were most striking when comparing across medial and lateral areas, suggesting that these areas have distinct profiles for net excitability and integration of V1 inputs. Thus, cortical areas are not defined simply by the information they receive but also by area-specific circuit properties that enable specialized filtering of these

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