In Silico Neuroscience: Neuron Classification

This lecture delves into the world of in silico neuroscience, focusing on the classification of neuron types. Starting with a historical perspective on neuron types, it explores the challenges and methods involved in reconstructing neuronal morphologies. The lecture emphasizes the importance of understanding neuron classification for brain research, reproducibility, disease studies, and evolution. It discusses the complexities of neuron morphology, the elusive nature of defining 'cell types', and the need for accurate reconstructions. Various techniques such as staining, immunostaining, and reconstruction artifacts are covered. The lecture concludes by highlighting the significance of systematic analysis and the emerging high-throughput technologies in advancing our understanding of neuronal diversity.