Data-driven analysis of >30,000 EM-reconstructed mouse-V1/AL/RL excitatory neur…

Data-driven analysis of >30,000 EM-reconstructed mouse-V1/AL/RL excitatory neurons argues that cortical excitatory morphology is better described as a continuum than as discrete m-types — challenging the discrete-type framing used in many E→E claims.

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  "doi": "10.1038/s41467-025-58763-w",
  "claim": "Data-driven analysis of >30,000 EM-reconstructed mouse-V1/AL/RL excitatory neurons argues that cortical excitatory morphology is better described as a continuum than as discrete m-types — challenging the discrete-type framing used in many E→E claims.",
  "cite_key": "Weis2025",
  "evidence": "Reanalysis of MICrONS that revises a structural claim drawn from earlier smaller datasets — relevant to cluster_14 synthesis on what large-scale connectomics actually supports.",
  "effect_size": ">30,000 excitatory neurons reconstructed across V1, AL, RL",
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  "claim_source_sentence": "Contrary to previous classifications into discrete morphological types (m-types), our data-driven approach suggests that the morphological landscape of cortical excitatory neurons is better described as a continuum, with a few notable exceptions in layers 5 and 6.",
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Contrary to previous classifications into discrete morphological types (m-types), our data-driven approach suggests that the morphological landscape of cortical excitatory neurons is better described as a continuum, with a few notable exceptions in layers 5 and 6.

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15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon

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