Details
- scope
- rat frontal cortex L5 pyramidal cells (physiological subtypes)
- section_id
- section_07
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json
- effect_size
- qualitative — same-firing-pattern L5 pairs share more L2/3 inputs and connect more often
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-07-celltype-motifs
- source_kind
- review_finding
- source_path
- evidence/section_07_evidence_package.json
- source_span
- Dual recordings from L5 pyramidal cells revealed that common input probability that two L5 cells share inputs from a L2/3 cell was high in cell pairs of the same subtypes, compared with those in different subtype pairs.
- study_system
- rat frontal cortex L5 pyramidal cells (physiological subtypes)
- section_title
- 7. Cell-type-specific E→E motifs in mouse — IT vs PT vs CT pyramidal projection classes; L5 thick-tufted recurrence; Patch-seq and Allen mouse-cortex taxonomy intersections; transcriptomic-type-specific connectivity
- evidence_summary
- Focal glutamate-uncaging stimulation of L2/3 with dual whole-cell recordings of physiologically classified L5 pyramidal cells in rat frontal cortex slices.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- independently_replicated
- review_package_ref
- analysis_bundle:ab-d9c479db9be9
- source_artifact_ref
- wiki_page:computationalreviewrecurrence-07-celltype-motifs
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_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
In rat frontal cortex L5, paired recordings revealed that L5 pyramidal cells of the same firing-pattern subtype shared more common L2/3 inputs and were preferentially synaptically connected to each other, establishing firing-pattern (projection-correlated) excitatory feed-forward subnetworks.
- raw_fields
{ "n": 0, "doi": "10.1523/jneurosci.1921-08.2008", "claim": "In rat frontal cortex L5, paired recordings revealed that L5 pyramidal cells of the same firing-pattern subtype shared more common L2/3 inputs and were preferentially synaptically connected to each other, establishing firing-pattern (projection-correlated) excitatory feed-forward subnetworks.", "cite_key": "Otsuka2008", "evidence": "Focal glutamate-uncaging stimulation of L2/3 with dual whole-cell recordings of physiologically classified L5 pyramidal cells in rat frontal cortex slices.", "effect_size": "qualitative — same-firing-pattern L5 pairs share more L2/3 inputs and connect more often", "text_access": "abstract_only", "study_system": "rat frontal cortex L5 pyramidal cells (physiological subtypes)", "argument_role": "supporting", "replication_status": "independently_replicated", "claim_source_sentence": "Dual recordings from L5 pyramidal cells revealed that common input probability that two L5 cells share inputs from a L2/3 cell was high in cell pairs of the same subtypes, compared with those in different subtype pairs.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [ "10.1523/JNEUROSCI.0772-11.2011", "10.1523/JNEUROSCI.2810-11.2012" ], "effect_size_source_sentence": "Furthermore, the common input probability was highly selective when cell pairs of the same subtypes, but not different subtypes, had connections between them." }- source_refs
[ "paper:paper-c47fe4083db3" ]
- evidence_refs
[ { "ref": "paper:paper-c47fe4083db3" } ]- 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" }