Conflict-worthy: prior in vitro multi-patch papers (Ko/Hofer/Cossell etc.) repo…

{
  "n": null,
  "doi": "10.1038/s41586-025-08840-3",
  "claim": "Conflict-worthy: prior in vitro multi-patch papers (Ko/Hofer/Cossell etc.) reported like-to-like inside V1 L2/3; MICrONS sees it across areas/layers but not within V1 L2/3 specifically.",
  "cite_key": "Ding2025",
  "evidence": "Understanding the relationship between circuit connectivity and function is crucial for uncovering how the brain computes. In mouse primary visual cortex, excitatory neurons with similar response properties are more likely to be synaptically connected; however, broader connectivity rules remain unknown. Here we leverage the millimetre-scale MICrONS dataset to analyse synaptic connectivity and functional properties of neurons across cortical layers and areas. Our results reveal that neurons with similar response properties are preferentially connected within and across layers and areas-including feedback connections-supporting the universality of 'like-to-like' connectivity across the visual hierarchy. Using a validated digital twin model, we separated neuronal tuning into feature (what neurons respond to) and spatial (receptive field location) components. We found that only the feature component predicts fine-scale synaptic connections beyond what could be explained by the proximity of axons and dendrites. We also discovered a higher-order rule whereby postsynaptic neuron cohorts downstream of presynaptic cells show greater functional similarity than predicted by a pairwise like-to",
  "effect_size": null,
  "text_access": "fulltext",
  "study_system": "Functional connectomics reveals general wiring rule in mouse visual cortex.",
  "argument_role": "supporting",
  "replication_status": null,
  "claim_source_sentence": "In contrast to previous studies, the MICrONS analysis did not observe a significant like-to-like effect when restricting the analysis specifically to projections within V1 L2/3 excitatory neurons, while like-to-like effects were widespread across other area/layer projections.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
}

[
  "paper:paper-7ac22819c082"
]

In contrast to previous studies, the MICrONS analysis did not observe a significant like-to-like effect when restricting the analysis specifically to projections within V1 L2/3 excitatory neurons, while like-to-like effects were widespread across other area/layer projections.

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Understanding the relationship between circuit connectivity and function is crucial for uncovering how the brain computes. In mouse primary visual cortex, excitatory neurons with similar response properties are more likely to be synaptically connected; however, broader connectivity rules remain unknown. Here we leverage the millimetre-scale MICrONS dataset to analyse synaptic connectivity and functional properties of neurons across cortical layers and areas. Our results reveal that neurons with similar response properties are preferentially connected within and across layers and areas-including feedback connections-supporting the universality of 'like-to-like' connectivity across the visual hierarchy. Using a validated digital twin model, we separated neuronal tuning into feature (what neurons respond to) and spatial (receptive field location) components. We found that only the feature component predicts fine-scale synaptic connections beyond what could be explained by the proximity of axons and dendrites. We also discovered a higher-order rule whereby postsynaptic neuron cohorts downstream of presynaptic cells show greater functional similarity than predicted by a pairwise like-to