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最終更新日：2019/03/29  
筑波大学 教育課程編成支援システム(EN)

02RB235 Computational Vision Science

1.0 Credits, 1, 2 Year, SprAB Thu3
Ko Sakai

Course Overview

The course is an introduction to the human vision, with specific interests on the computational mechanisms of the visual cortex. The course will cover elementary physiology and psychology, as well as computational algorithms.

Remarks

Identical to 01CH607 and 02RE706.

Course Type

lectures

Course Remarks

The lecture will be given in Japanese language unless where English is required. Writings on blackboard, handouts and slides will be given in English. Questions are welcome in either Japanese and English, and the answers will be given accordingly. The lecturer will talk with students whose native language is not Japanese and consider necessary measures. This class will not be given if the number of registrant is less than five.

Relationship to EMP Educational Objectives

Participants will learn the foundation of the computational aspects of cognition which will help understanding a variety of neural phenomena and designing applications in engineering.

Course Objectives

Participants will learn the essence of neural computations which underlie visual functions.

Keywords

vision, perception, brain, science, cognitive, neuroscience

Course Schedule

Fundamentals of
visual neuroscience,
visual psychophysics,
computational neuroscience.
Cortical representation of visual information.
Computational mechanisms of visual functions.

Graduating Methods and Criteria

Based on the quality of reports(80%) and discussion/participation(20%) in the class.

Homework

Homework will be assigned every one to two weeks.

Textbook

Important slides will be given in advance as an online handout.

References

1. T. Trappenberg, "Fundamentals of Computational Neuroscience", 2009, Oxford
2. A. Hyvrinen, et al., "Natural Image Statistics", Springer, 2009
3. S. E. Palmer "Vison Science" MIT press
4. Kandel, et al., "Principles of Neural Science" McGrawhill, 2014
5. L. M. Chalupa & J. S. Werner (Ed) "The Visual Neuroscience" MIT, 2004
6. R. Snowden, et al., "Basic Vision" Oxford,2006
7. D. Purves, et al., "Principles of Cognitive Neuroscience", Sinauer
8. J. M. Wolfe, et al, "Sensation and Perception", Sinauer
9. J. P. Frisby & J. V. Stone "Seeing: the computational approach to biological vision", MIT
10. . S. Werner & L. M. Chalupa "The new visual neuroscience", MIT, 2014
11. M. S. Gazzaniga "The Cognitive Neurosciences", MIT, 2009
12. 3D shape, Pizlo, MIT, 2008

All references are available in our library.

Office Hour

The office hour will be assigned at the first class.

1001184 http://www.cvs.cs.tsukuba.ac.jp/~ko

Messages for Students

The lecturer will introduce a number of topics unfamiliar for students with background of information science. The lecture is designed to provide opportunities that expose students to the world of cognitive neuroscience. Students are encouraged to take good notes during lecture, and research the introduced topics by oneself following the homework problems.

Teaching Fellow / Teaching Assistant