Course Syllabus

Course Description: This course explores the integration of brain science and AI through theory and hands-on practice. Students will learn how AI models help understand the brain and how neuroscience inspires AI algorithm development. Using visual information processing as a foundation, the course covers neural coding, information representation, computational neuroscience, and modern AI architectures including transformers and large language models.

Learning Objectives

• Master fundamental concepts in computational neuroscience and neural coding
• Apply AI models (CNNs, RNNs, transformers) to analyze brain data
• Understand how biological intelligence shapes AI development
• Build practical skills in neural data analysis and modeling

Course Resources

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