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