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Learning Path
Probability Theory Foundations → Capstone Project: Implementing a Predictive Model
This advanced graduate-level path equips computational neuroscience students with the conceptual and mathematical toolkit to apply predictive models—ranging from predictive coding to Bayesian and active inference—to neural data and models of brain function. It builds from foundational probability and neurobiology through formal frameworks to practical applications, culminating in a project that integrates these concepts.
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14 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.