9.93
Independent Activities
Learning: Theory, Engineering Applications, and Brains
Tomaso Poggio
Tue Jan 19, Wed Jan 20, Thu Jan 21, 10am-01:00pm, E25-202
Pre-register on WebSIS and attend first class.
Listeners allowed, space permitting
Prereq: —
Level: U 3 units Graded P/D/F
For undergraduates taking Course 9 IAP subjects for credit. See IAP Guide for details.
We first introduce the basic notions of Statistical Learning Theory as well as a number of learning techniques including Support Vector Machines and Neural Networks. We then discuss applications of these techniques to computer vision, in particular object detection. Finally, we relate and contrast these techniques to object representation and recognition in the brain. This course is presented by members of the Center for Biological and Computational Learning.
Contact: Sarah McCarthy, E25-218, x8-6933, smccarth@mit.edu
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9.94
Independent Activities
Psychology: The Rest of It
Alan Hein
Tue, Wed, Thu, Fri, Jan 12, 13, 14, 15, 19, 20, 10-11:30am, E10-013, 01-13 in E25-401
Pre-register on WebSIS and attend first class.
Listeners allowed, space permitting
Prereq: —
Level: U 3 units Graded P/D/F
For undergraduates taking Course 9 IAP subjects for credit. See IAP Guide for details. May be repeated for credit.
Both basic and applied components of the field of Psychology which have not been addressed in the subject "Introduction to Psychology" will be reviewed. Students must attend all sessions. Speakers include Mary Parlee, James Kuchar, Holly Sweet. John Carroll, Peter Schiller, Rebecca Hamilton and Nader Tavassoli.
Contact: Alan Hein, E10-008, x3-5759, hein@psyche.mit.edu
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9.95
Independent Activities
Cognitive Neuroscience
Earl K. Miller , Sebastian Seung, Barton Anderson
Tue, Wed, Thu, Fri, Mon, Jan 19, 20, 21, 22, 25, 26, 27, 28, 02:30-04:00pm, E10-013
Pre-register on WebSIS and attend first class.
Listeners allowed, space permitting
Prereq: —
Level: U 3 units Graded P/D/F
For undergraduates taking Course 9 IAP subjects for credit. See IAP Guide for details. May be repeated for credit.
This IAP course will include a series of lectures on the neural basis of cognition and behavior. The lectures will illustrate the interdisciplinary approach to these subjects that is the cutting edge of modern neuroscience. For most sessions, there will be a pair of lectures on a given topic. One lecture will summarize research on human cognition while the other will summarize research on the neural basis of those mechanisms using animal models. Topics will include memory, attention, visual recognition, perception, cognitive development, and learning.
Contact: Carol Milkis, E25-236, x2-1790, cmilkis@haystack.mit.edu
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9.96
Independent Activities
Connectionist Models of Language
Edward Gibson
Mon, Tue, Wed, Thu, Fri, Jan 11, 12, 13, 14, 15, 19, 20, 21, 22, 01-02:30pm, E25-117
Pre-register on WebSIS and attend first class.
Listeners allowed, space permitting
Prereq: —
Level: U 3 units Graded P/D/F
For undergraduates taking Course 9 IAP subjects for credit. See IAP Guide for details.
This course will survey and evaluate connectionist models of language processing and acquisition. It is aimed at undergraduate and early graduate students. The lecturers will include faculty and graduate students in the Departments of Brain and Cognitive Sciences, Linguistics and Philosophy, and Electrical Engineering and Computer Science.
Contact: Edward Gibson, E10-034C, x3-8609, gibson@psyche.mit.edu
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9.97
Independent Activities
Introduction to Neuroanatomy
Suzanne Corkin , Christie Cullen
Mon Jan 11, Tue Jan 12, Wed Jan 13, Thu Jan 14, 03-05:00pm, 1st mtg 6-120
Pre-register on WebSIS and attend first class.
Listeners allowed, space permitting
Prereq: —
Level: U 3 units Graded P/D/F
This course will introduce participants to the anatomy of the mammalian brain through lectures, demonstrations, and hands-on dissection experience. Participants will also have access to interactive sheep dissection software. Class may be limited to 70 students.
Contact: Christie Cullen, E25-147B, x3-8015, ccullen@mit.edu
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9.98
Moral Cognition
Elizabeth Spelke , John Mikhail
Thu, Fri, Mon, Tue, Wed, Jan 21, 22, 25, 26, 27, 28, 10:30-12:00am, E10-013
Pre-register on WebSIS and attend first class.
Listeners allowed, space permitting
Prereq: —
Level: U 3 units Graded P/D/F
Where does moral knowledge come from? Is it innate? Does the brain contain a module specialized for moral judgment? Does the human genetic program contain instructions for the acquisition of a moral sense? In this course, we will address these questions and evaluate specific proposals for how they might be empirically investigated. Readings include classics in moral epistemology as well as current research. Topics covered include nativism vs. empiricism, mentalism vs. behaviorism, unconscious knowledge, modularity, and the argument from the poverty of the stimulus.
Contact: John Mikhail, E25-147B, x3-8015, jmikhail@mit.edu
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9.99
Independent Activities
Fundamentals of Signal and Image Processing
Edward Adelson , Hany Farid
Mon Jan 4, Tue Jan 5, Wed Jan 6, Thu Jan 7, Fri Jan 8, 10am-12:30pm, E10-013
Pre-register on WebSIS and attend first class.
Listeners allowed, space permitting
Prereq: —
Level: U 3 units Graded P/D/F
For undergraduates taking Course 9 IAP subjects for credit. See IAP Guide for details.
We will cover basic tools used in the analysis, manipulation, and representation of digital images. Throughout, a strong emphasis will be placed on a unifying linear algebraic framework. Topics to be discussed include: convolution, Fourier transform, sampling theory, and multi-scale transforms.
Contact: Hany Farid, E10-124, x8-7904, farid@psyche.mit.edu
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