Many of the brain’s most intriguing mechanisms are difficult, if not impossible, to measure directly. For this reason, neuroscientists create artificial models of the brain, inspired by real biology, and study in tandem with carefully directed measurements. Computational neuroscience merges biology’s search for brain mechanisms with an engineering-like pursuit of realistic models. Using approaches from engineering and the physical sciences, alongside analysis of data collected from real brains, the field is poised to answer big questions about cognition and what goes wrong in disease.
This was selected as a part of the Neuroscience 2023 programming: Theme E – Motor Systems
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Speaker
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