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Lecture 1 – Building and Understanding Brains
Lecture 2 – Model Free Reinforcement Learning
Lecture 3 – Deep Learning and the Primate Ventral Stream
Lecture 4 – Structuring information in space and time
Lecture 5 – Computation and modular memory systems
Lecture 6 – Complementary Learning Systems Theory
Lecture 7 – Unsupervised and generative models
Lecture 8 – Building a model of the world for reasoning and planning
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