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Probing the basis of neuronal branching

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My general goal is to understand neuronal processing as a function of anatomy in the context of individual connectivity schemes. With a set of complementary approaches I aim to better understand the relationship between anatomy, network connectivity and computation in the brain, and their underlying mechanisms. Currently, my main line of research is grounded in a rule defined by Ramón y Cajal stating that neuronal branching strives to minimize quantities such as amount of cytoplasm, required space and conduction time. I have developed a modular growth algorithm implementing this rule which turns out to be capable of describing much of how the brain’s architecture comes about.

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This talk is part of the MRC LMB Neurobiology Seminars series.

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