- claim_text
Nuclear-localized GCaMP two-photon imaging in mouse V1 reveals that the salt-and-pepper organization of orientation tuning hides a fine-scale 'micro-clustered' organization: extremely-close-neighbour neuron pairs share strongly correlated orientation tuning while distant pairs are essentially uncorrelated, consistent with recurrent excitatory-coupling-dominated wiring rather than feedforward inheritance.
- raw_fields
{
"n": 0,
"doi": "10.1101/2025.02.11.637768",
"claim": "Nuclear-localized GCaMP two-photon imaging in mouse V1 reveals that the salt-and-pepper organization of orientation tuning hides a fine-scale 'micro-clustered' organization: extremely-close-neighbour neuron pairs share strongly correlated orientation tuning while distant pairs are essentially uncorrelated, consistent with recurrent excitatory-coupling-dominated wiring rather than feedforward inheritance.",
"cite_key": "Yu2025",
"evidence": "Two-photon calcium imaging in mouse V1 using a novel nuclear-localized GCaMP indicator with circuit-based recurrent network modeling.",
"effect_size": "qualitative — short-range orientation micro-clustering hidden in classical salt-and-pepper view",
"text_access": "fulltext",
"study_system": "mouse primary visual cortex (V1) L2/3 in vivo",
"argument_role": "supporting",
"replication_status": "single_study",
"claim_source_sentence": "neuron pairs that are extremely close have strongly correlated orientation tuning, indicating a narrow yet strong spatially clustered organization of orientation preference, which we term 'micro-clustered' organization",
"source_provenance_status": "ok",
"replication_evidence_dois": [],
"effect_size_source_sentence": "we term 'micro-clustered' organization"
}- source_refs
[
"paper:paper-382052e33d4f"
]
- evidence_refs
[
{
"ref": "paper:paper-382052e33d4f"
}
]- 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"
}