Scene Understanding and Symposium OpenCourseWare: A Free Bachelor Level Biological Sciences Course on Scene Understanding by MIT
'Scene Understanding Symposium' was planned and implemented through the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology. Neuroscientists discussed the processes by which the brain recognizes and comprehends visual information. The goal of this 1-day MIT symposium was to encourage ongoing discussions between the many disciplines that conduct research on the brain and how it functions.
Scene Understanding Symposium: Course Specifics
Degree Level | Free | Audio | Video | Downloads |
---|---|---|---|---|
Undergraduate | Yes | No | No | Yes |
Lectures/Notes | Study Materials | Tests/Quizzes |
---|---|---|
Yes | Yes | No |
Scene Understanding Symposium: Course Description
Imagine that you could take all the visual information contained in a single millisecond glance and put it in one place for future retrieval. How much information would there be? How do the five senses enhance or change what is stored? Expert speakers from various Neuroscience disciplines tackled this concept from the perspective of computational Neuroscience, neurophysiology and many other disciplines. They spoke about how the brain interprets visual stimuli, recognizes objects and maintains attention. This Massachusetts Institute of Technology class was held on one day in 2006 with 14 half-hour sessions for graduate and undergraduate students who were interested in neurology, vision and scene comprehension. The organizers included Professor Aude Oliva from the Brain and Cognitive Sciences department at MIT, Thomas Serre from MIT's McGovern Institute, and Antonio Torralba from MIT's Computer Science and Artificial Intelligence Laboratory.
This class includes lecture notes from several symposium speakers, a calendar of subjects covered and an extensive reading list of research papers written by the presenters on their respective subjects, For more information on this biological symposium, visit this neurology and visual recognition course page.
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