Version history

{
  "scope": "Functional connectomics spanning multiple areas of mouse visual cortex.",
  "claim_text": "Top-level reference for the MICrONS resource that underlies functional E→E wiring studies (40205211, 40205209) in mouse cortex.",
  "raw_fields": {
    "n": null,
    "doi": "10.1038/s41586-025-08790-w",
    "claim": "Top-level reference for the MICrONS resource that underlies functional E→E wiring studies (40205211, 40205209) in mouse cortex.",
    "cite_key": "TheMICrONSConsortium2025",
    "evidence": "Understanding the brain requires understanding neurons' functional responses to the circuit architecture shaping them. Here we introduce the MICrONS functional connectomics dataset with dense calcium imaging of around 75,000 neurons in primary visual cortex (VISp) and higher visual areas (VISrl, VISal and VISlm) in an awake mouse that is viewing natural and synthetic stimuli. These data are co-registered with an electron microscopy reconstruction containing more than 200,000 cells and 0.5 billion synapses. Proofreading of a subset of neurons yielded reconstructions that include complete dendritic trees as well the local and inter-areal axonal projections that map up to thousands of cell-to-cell connections per neuron. Released as an open-access resource, this dataset includes the tools for data retrieval and analysis. Accompanying studies describe its use for comprehensive characterization of cell types, a synaptic level connectivity diagram of a cortical column, and uncovering cell-type-specific inhibitory connectivity that can be linked to gene expression data. Functionally, we identify new computational principles of how information is integrated across visual space, characteriz",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "Functional connectomics spanning multiple areas of mouse visual cortex.",
    "argument_role": "supporting",
    "replication_status": null,
    "claim_source_sentence": "The MICrONS functional connectomics dataset combines dense calcium imaging of around 75,000 neurons in mouse primary visual cortex (VISp) and higher visual areas (VISrl, VISal, VISlm) with an EM reconstruction containing more than 200,000 cells and 0.5 billion synapses; proofread reconstructions include complete dendritic trees and local and inter-areal axonal projections mapping up to thousands of cell-to-cell connections per neuron.",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_03",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_03_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-03-paired-recording",
  "source_kind": "review_finding",
  "source_path": "evidence/section_03_evidence_package.json",
  "source_refs": [
    "paper:paper-aecac0566e4a"
  ],
  "source_span": "The MICrONS functional connectomics dataset combines dense calcium imaging of around 75,000 neurons in mouse primary visual cortex (VISp) and higher visual areas (VISrl, VISal, VISlm) with an EM reconstruction containing more than 200,000 cells and 0.5 billion synapses; proofread reconstructions include complete dendritic trees and local and inter-areal axonal projections mapping up to thousands of cell-to-cell conn...",
  "study_system": "Functional connectomics spanning multiple areas of mouse visual cortex.",
  "evidence_refs": [
    {
      "ref": "paper:paper-aecac0566e4a"
    }
  ],
  "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)",
  "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": "Understanding the brain requires understanding neurons' functional responses to the circuit architecture shaping them. Here we introduce the MICrONS functional connectomics dataset with dense calcium imaging of around 75,000 neurons in primary visual cortex (VISp) and higher visual areas (VISrl, VISal and VISlm) in an awake mouse that is viewing natural and synthetic stimuli. These data are co-registered with an electron microscopy reconstruction containing more than 200,000 cells and 0.5 billion synapses. Proofreading of a subset of neurons yielded reconstructions that include complete dendritic trees as well the local and inter-areal axonal projections that map up to thousands of cell-to-cell connections per neuron. Released as an open-access resource, this dataset includes the tools for data retrieval and analysis. Accompanying studies describe its use for comprehensive characterization of cell types, a synaptic level connectivity diagram of a cortical column, and uncovering cell-type-specific inhibitory connectivity that can be linked to gene expression data. Functionally, we identify new computational principles of how information is integrated across visual space, characteriz",
  "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"
}