Details
- scope
- adult mouse V1, MICrONS EM connectomics + two-photon functional imaging of L2/3 excitatory neurons
- section_id
- section_04
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json
- effect_size
- Postsynaptic > presynaptic invariance in L2/3 (direction reported, magnitudes in figures); lower-invariance neurons formed more synaptic connections.
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-04-translaminar
- source_kind
- review_finding
- source_path
- evidence/section_04_evidence_package.json
- source_span
- Analysis of the MICrONS dataset revealed a hierarchy of excitatory neurons in mouse V1 layers 2/3: postsynaptic neurons exhibited greater invariance than their presynaptic inputs, while neurons with lower invariance formed more connections.
- study_system
- adult mouse V1, MICrONS EM connectomics + two-photon functional imaging of L2/3 excitatory neurons
- 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
- Inception-loop paradigm in mouse V1 combining large-scale two-photon recordings, predictive deep-network models and in silico/in vivo verification; intersected with MICrONS EM connectomic graph in L2/3 to test invariance hierarchy.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- single_study
- 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
MICrONS analysis of mouse V1 reveals a translaminar hierarchy among L2/3 excitatory neurons: postsynaptic neurons display greater invariance than their presynaptic inputs, and lower-invariance neurons form more local connections — linking synaptic connectivity to a within-layer hierarchy of visual computation.
- raw_fields
{ "n": 0, "doi": "10.1038/s41593-026-02213-3", "claim": "MICrONS analysis of mouse V1 reveals a translaminar hierarchy among L2/3 excitatory neurons: postsynaptic neurons display greater invariance than their presynaptic inputs, and lower-invariance neurons form more local connections — linking synaptic connectivity to a within-layer hierarchy of visual computation.", "cite_key": "Ding2026a", "evidence": "Inception-loop paradigm in mouse V1 combining large-scale two-photon recordings, predictive deep-network models and in silico/in vivo verification; intersected with MICrONS EM connectomic graph in L2/3 to test invariance hierarchy.", "effect_size": "Postsynaptic > presynaptic invariance in L2/3 (direction reported, magnitudes in figures); lower-invariance neurons formed more synaptic connections.", "text_access": "fulltext", "study_system": "adult mouse V1, MICrONS EM connectomics + two-photon functional imaging of L2/3 excitatory neurons", "argument_role": "supporting", "replication_status": "single_study", "claim_source_sentence": "Analysis of the MICrONS dataset revealed a hierarchy of excitatory neurons in mouse V1 layers 2/3: postsynaptic neurons exhibited greater invariance than their presynaptic inputs, while neurons with lower invariance formed more connections.", "source_provenance_status": "ok", "replication_evidence_dois": [ "10.1101/2023.03.15.532836" ], "effect_size_source_sentence": null }- source_refs
[ "paper:paper-3d840e4fd22c" ]
- evidence_refs
[ { "ref": "paper:paper-3d840e4fd22c" } ]- 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" }