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視覚計算特論_E
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| Instructor(s) |
SAKAI, Ko
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| 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 | |
| Course style | Lecture |
| Term | SprC |
| Period | Wed2,3 |
| Room# | 3B302 |
| Keywords | vision, perception, brain science, neuroscience, cognitive neuroscience |
| Prerequisites | Elementary linear algebra, analysis, statistics and image processing. |
| relation degree program competence | Knowledge Utilization Skills,International Skills,Research Skills,Expert Knowledge,Ethics |
| 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. Home works will be given to facilitate understanding of the essence and reality of the computation. |
| Course plan |
Fundamentals of visual neuroscience (week 1&2), visual psychophysics (week 3&4), computational neuroscience (week 5&6). Cortical representation of visual information (week 7&8). Computational mechanisms of visual functions (week 9&10). Homeworks on topics related to the lecture will be given four times during the semister, each of which may require two to three hours. |
| 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 & active 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. |