Building Neural Networks: Assembling Brain Regions

This lecture focuses on assembling neural networks by defining space and populating it with neurons, using different approaches like arbitrary volumes, simplified volumes, and atlas-based volumes. The speaker discusses the challenges of defining space and positioning cells, emphasizing the importance of accurate morphologies and volume information. The lecture also covers the use of synthetic cells, morphological synthesis, and connectome strategies to recover missing data. Various rules and strategies for cell positioning, morphological synthesis, and connectome reconstruction are explained, highlighting the complexity of building accurate neural networks.