Stanford University

PSY250/CS423: High-Level Vision

Behaviors, Neurons and Computational Models

Spring 2009-2010


• There will not be a class on Tues 4/13, instead we will hold it on Fri 4/16, at 2:15-5:05pm in Gates 259.

• The first day of class is on March 30th.



Prof. Kalanit Grill-Spector

Office: Room 414 Jordan Hall

Phone: (650)269-9605

Prof. Fei-Fei Li

Office: Room 246 Gates Building

Phone: (650)725-3860

Class Location and Time:

Tuesday 2:15-5:05pm, Jordan Hall Room 417

Course Description:

Vision is one of the most important sensory modalities for intelligent living organisms as well as robots and machines. This advanced level reading class will emphasize an interdisciplinary approach aimed at understanding vision from several disciplines: neurophysiology, psychophysics, cognition, algorithms and computational models. For this quarter, our class will focus on the problem of scene understanding, covering topics from multiple perspectives drawing on recent research in psychology, neuroscience and computer science. Emphasis will be placed on ongoing debates in the field, and discussion of recent empirical findings. Topics include: Theories of visual recognition for scene perception. What are the behavioral and cognitive characteristics of scene perception, and their connections to object recognition. What are the neural computations that underlie scene perception? What are the roles of attention, expectation and experience in shaping scene recognition? What are the current state-of-the-art computational models for scene perception?


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)


Recommended but not required: Psych 30, CS 223b

Course Credit:

1-3 Units, Letter or Credit/No Credit grading