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Welcome to ANCM’22
Lab assignments
Week 1 - Introduction & Logistic regression
Logistic regression for musical tags
Week 2 - Deep learning architectures
2A: Language model refresher
2B: Representational similarity with story reading fMRI data
2C: Language model surprisal and EEG data
Week 3 - Bayesian perspectives
Item Response Theory and Stan
Week 4 - Current language & music research
Lab 4: Vision, convolutions, recurrence
Extra
Modeling Language Processing: Large Language Models & their use in Predicting eye tracking features
Mini-projects
Resources for mini-projects
Repository
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