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A master's on how nervous systems compute and how to model, record and emulate them.
A master's on how nervous systems compute and how to model, record and emulate them. Students study cellular and systems neuroscience, dynamical and statistical models of neurons and networks, learning and plasticity, and neural data analysis, alongside neuromorphic engineering and brain–machine interfaces. Work combines mathematical modelling, programming and analysis of electrophysiology and imaging data. It suits graduates in physics, engineering, mathematics, computer science or neuroscience with quantitative skills, and it ends with a computational or experimental research thesis.
Complete the online form, which saves from the first step, pay the $30 application fee, and upload your documents. Admissions emails you the decision.
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