This advanced sequence explores the mathematical and computational frameworks of associative learning, moving from the foundational Rescorla-Wagner model to modern attentional theories and simulations. Designed for graduate students, it emphasizes quantitative rigor, experimental design, and the intersection of behavioral data with algorithmic prediction.

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