Stanford University

PSY250/CS431: High-Level Vision

Behaviors, Neurons and Computational Models

Spring 2013-2014


The writeup deadline for the course project is June 5, at 11:59pm.



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 / Thursday 2:15 - 3:30pm, Jordan Hall Room 417

Course Description:

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)


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Course Credit:

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