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Announcements
- Projects are due 5 PM on December 15.
- Video and slides from Prof. Dean's talk available (also linked from Supplementary Materials page).
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Reading and Presentations Schedule
References
Supplementary Materials
Project Notes
Instructor:
Thomas Dean
Time:
Mondays and Wednesdays 3:15-4:30
Place:
Gates 100 (on Oct. 23 only, in Bldg. 420 Room 371)
Description:
The problem of modeling the primate perceptual neocortex using
probabilistic graphical models, including Bayesian and Markov
networks, and extensions to model time and change such as hidden
Markov models and dynamic Bayesian networks. Problems of learning,
inference, and attention. Sources include literature in
computational and cognitive neuroscience, machine learning, and
other fields that bear on how biological and engineered systems
make sense of the world. Prerequisites: basic probability theory,
algorithms, and statistics.
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