Quantitative analysis of neuronal morphology via machine learning
Deciphering the relationship between the morphology (structure) and the function of neurons remain an unsolved open problem in modern neuroscience. Recently, there have been elaborate studies to create digital reconstruction of neurons from digital microscopy using sophisticated tools from image analysis and machine learning . The current focus is to analyze these digital reconstructions at scale, to further our understanding about the interplay between the geometry of the neurons and their functional characteristics.
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