Courses

    Service to Scientific Community

    A list of more than 50 fellowships for prospective graduate students, current graduate students and post-doctoral students in all disciplines related to brain and cognitive sciences, and computer science is available here:

    Graduate Study Fellowships

    Post-doctoral Fellowships

Fall 2009 - Spring 2012 - Spring 2014 - 9.77/9.777 - Computational Perception

Prof. Aude Oliva & Prof. Edward Adelson
Spring 2014: T/Th 2-3:30 pm

Synopsis:This course in an introduction to current methods used in computational visual perception, covering both low level and high level perception. The lectures proceed from fundamental aspects of image processing, to the description of visual features, image synthesis methods, and finally to computational models of face, object and scene recognition. The course is focused on how knowledge about human perception may be used to guide machine vision systems. Matlab code and working models of computational perception will be demoed in class and form a basis for problem sets. Students taking the course for credits will be require to do 4 problem sets and a Matlab-based final project in Computational Perception.

Every Fall - 9.911 - Fellowship Applications Seminar

Prof. Aude Oliva, Prof. Ki Goosens

Web page of Graduate Fellowships
Web page of Postdoctoral Fellowships

Description:This seminar is designed to provide an overview of fellowship writing, and to facilitate application for predoctoral fellowships. We will meet together as group to review some of the fellowships that are most commonly applied for during the first two years of graduate study in Cognitive Science, Computer Vision and Neuroscience, and to discuss specific techniques for scientific writing. You will be encouraged to search for and identify predoctoral fellowships for which you are eligible, and apply for at least one fellowship this fall. We will be available to meet with you one-on-one during the course of the semester to provide feedback on drafts of all portions of the application (scientific proposal, CV, other essays); you will also solicit feedback from your current lab advisor. For proposals related to Cognitive Science, Computer Vision and Cognitive Neuroscience, contact Aude Oliva (oliva@csail.mit.edu). For proposals related to Neurosciences/Life Sciences, contact Ki Ann Goosens (kgoosens@mit.edu).

Fall 2005 - Fall 2011 - 9.63 - Laboratory in Visual Cognition

Prof. Aude Oliva
Fall 2011: Tuesdays, 1 - 4 pm
Building 46 - 4078.


Description: Teaches principles of experimental methods in human visual perception and cognition, including experimental design, programming (matlab) and statistical analysis. Combines lectures and hands-on experimental exercises; requires three independent experimental projects. To foster improved writing and presentation skills in conducting and criticizing research in visual cognition, students are required to provide reports and give oral presentations of team experiments.

Required Textbooks:

  1. Research methods. McBurney & White. Thomson, Wadsworth.
  2. CogLab on a CD.Francis, Neath, MacKewn, Goldthwaite. Tomson, Wadsworth.Note: You need to purchase the CD version (same as 9.63 in Fall 2006).

Additional Materials:

  1. Sensation and Perception (2006). Jeremy Wolfe et al. Sinauer
  2. PsyCog: Explorations in Perception and Cognition (CD-ROM). Robert A. Wyttenbach. Sinauer

Fall 2007 - 9.913 - Scene Understanding Seminar

Prof. Aude Oliva
Mondays 5-7pm
Department of Brain and Cognitive Sciences, Room 46-4054

Synopsis: We will discuss the state of the art articles about visual scene understanding, in visual cognition, computational vision and cognitive neuroscience. We will review the experimental paradigms, findings and theories with which we can evaluate the capabilities and ?limits of human visual understanding, and we will assess how knowledge about human perception could be used to guide machine vision systems. Topics will include scene gist recognition, space perception, perceptual grouping in complex images, texture perception, navigation, object recognition in clutter, the role of attention, eye movements, and task constraints in understanding the visual world, etc. The seminar will be organized around presentations based on reviews of a few articles per class.