The writeup deadline for the course project is June 5, at 11:59pm.
Instructors:Prof. Kalanit Grill-Spector
Office: Room 414 Jordan Hall
Prof. Fei-Fei Li
Office: Room 246 Gates Building
Class Location and Time:
Tuesday / Thursday 2:15 - 3:30pm, Jordan Hall Room 417
This is an interdisciplinary seminar focusing on understanding how computations in the brain and computers enable rapid and efficient object perception. Topics are presented from multiple perspectives drawing on recent research in Psychology, Neuroscience, Computer Science, and Machine learning. The course surveys recent findings in multiple disciplines to examine how computations, representations, and their implementation in the visual system support efficient recognition and categorization. Additionally, we will explore the potential utility of hierarchical processing in the visual system and how it might provide a foundation for informational hierarchies. Students in this course are expected to read and discuss a wide range of classical and recent papers in the fields of Cognitive Psychology, Neurophysiology, Computational Neuroscience, Graphical Models, and Deep Learning.
Students taking the course for:
- 1 Unit only: Class participation, presenting 1-2 papers
- 3 Units: Class participation, presenting 1-2 papers, and end of quarter project (experiment proposal or programming project)
Speak to instructors
1-3 Units, Letter or Credit/No Credit grading