Neuronal Morphology

Neuronal morphology research focuses on understanding the intricate three-dimensional shapes of neurons and their impact on brain function and disease. Current efforts concentrate on developing robust computational methods, including graph convolutional networks and generative adversarial networks, to reconstruct neurons from microscopy images and generate realistic synthetic morphologies, addressing limitations of traditional approaches. These advancements are crucial for analyzing large-scale datasets, classifying neuron types, and modeling neurodegenerative processes, ultimately improving our understanding of brain connectivity and function.