University of Tsukuba | Grad. Scho. Syst. and Info. Eng. | Dept. Comp. Sci. | List of Courses
視覚計算特論_E
Instructor(s)
SAKAI, Ko
E-Mail sakai@cs.tsukuba.ac.jp
URL http://www.cvs.cs.tsukuba.ac.jp/~ko
Office hours Office hour will be announced at the first class.
Cource# 01CH607, 02RB235
Area Intelligent System
Basic/Advanced 専門科目
Course style Lecture
Term Spring AB
Period Thu 3
Room# 3B302
Keywords vision, perception, brain science, neuroscience, cognitive neuroscience
Prerequisites Elementary linear algebra, analysis, statistics and image processing.
Goal
Outline 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.
Course plan Fundamentals of
  visual neuroscience,
  visual psychophysics,
  computational neuroscience.
Cortical representation of visual information.
Computational mechanisms of visual functions.
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
The library has all books in its stock.
Evaluation Based on the quality of reports(80%) and discussion & participation(20%) in the class.
TF / TA
Misc. 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.
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