Module 14: Neuron Classification and Morphology

Learn how to identify neuron types using structural, morphological, and connectivity features in EM datasets.

🔄 Neuron Classification Strategies

  • Taxonomies: excitatory vs. inhibitory, projection vs. interneuron
  • Features: soma size, dendritic branching, axonal spread
  • Tools: NBLAST, NeuroMorpho.org, mesh classifiers

🔄 Morphological Feature Extraction

  • Skeleton-based shape descriptors
  • Sholl analysis, path length, bifurcation ratios
  • Normalization and comparative metrics

🔄 Functional Implications

  • Linking morphology to electrophysiological role
  • Comparing morphologically similar neurons across regions
  • Implications for connectivity and computation

🌟 COMPASS Integration

  • Knowledge: Cell type and morphology principles
  • Skills: Structural comparison, database tools
  • Character: Attention to detail, curiosity
  • Meta-Learning: Evaluating classification limits and biases

📚 References & Resources

  • Ascoli et al., 2007. NeuroMorpho.Org: a central resource for neuronal morphologies. Nat Neurosci.
  • Colab: "Quantifying neuron shape using PyTorch and scikit-image"
  • Allen Institute Cell Types Database

✅ Assessment

  • Extract morphology features from an EM-reconstructed neuron
  • Classify neuron type using known anatomical criteria
  • Submit justification and visualizations of your classification