CSCI 7000 - Advances in Artificial Intelligence and Neuroscience

This course explores the recent advances in the intersection of artificial intelligence (AI) and neuroscience, including algorithms, tools, and theories. Students will read research papers, work on projects involving public brain imaging datasets, write reports, and discuss ethical issues that may arise in the use of AI in brain imaging studies. Prior experiences with data analytics or image processing are recommended.

Acknowledgements

Many of the materials for this course, including lectures and labs, are based on the works of the following individuals, projects, tutorials, and textbooks, with additions and improvements by Tom Yeh for education purposes.

• Pilyoung Kim
• Tor Wager
• Luke Chang
• Leanne Hirshfield
• Data 100 - Principles and Techniques of Data Science @ UC Berkeley
• Nilearn: Machine learning for Neuro-Imaging in Python
• Deep Learning with Python