Deep Learning for Cognitive Neuroscience

Course Description

Over the last decade, there has been amazing progress in deep learning AI systems for vision and language, and more and more cognitive neuroscientists are using these tools to study the human brain. This course will give an overview of popular deep learning methods, including convolutional neural networks, recurrent neural networks, variational autoencoders, and transformers, with the goal of addressing two key questions: 1) to what extent do these deep learning systems act like humans, and 2) what questions can they help us answer about the human mind and brain. The class will involve a mix of lectures, hands-on coding assignments, and reading/discussion of primary research articles. The course will focus heavily on vision but will include some topics in language (including large language models) and social cognition. Prerequisite(s): Students who have taken or are enrolled in AS.050.647 are not eligible to take AS.050.347.;(EN.500.112 OR EN.500.113 OR EN.500.114) AND (AS.050.383 OR AS.050.683 OR AS.050.372 OR AS.050.672 OR AS.110.201) AND (AS.050.203 OR AS.050.603)

Code

AS.050.347

Credits

3

Subject

Cognitive Science