[Bmi] Fwd: Connectionists: Computational Brain-Mind: A distance learning course
weng at cse.msu.edu
Tue Jul 31 14:10:50 EDT 2012
This course will start from the following Monday. You might like to
suggest that some of your advisees take it. Travel is not needed, since
it is a distance learning course. Thanks.
BMI 871 Instructor
BMI 871: Computational Brain-Mind
*A * *Distance Learning Course
* August 6 - 24, 2012
This course introduces computational principles of biological brain,
which give rise to the various functions of mind. An emphasis is on
regarding the brain as a highly integrated developmental system so that
the models and principles are applicable to small biological brains
(e.g., fruit flies), large biological brains (e.g., humans), and
artificial ones (e.g., machines and robots). The material integrates
knowledge in computer science, neuroscience, psychology (also cognitive
science), biology, electrical engineering, physics, mathematics, and
other related disciplines. The course is suited for faculty, senior
researchers, postdocs, and graduate students in any discipline ---
natural sciences, engineering, and social sciences --- who are
interested in studying how the brain-mind works. The subjects include:
Computational development of biological brains. Machine's symbolic
representations. Brain's emergent representations and architectures.
Brain's spatial representations. Brain's temporal representations.
Perception, cognition, attention (bottom-up and top-down), learning,
behaviors, abstraction, reasoning, decision making. Vision, audition,
touch, multimodality, and integration. Modulatory system: reinforcement,
motivation and emotion. The above subjects are detailed down to neuronal
computation, cutting across levels of molecules, synapses, cells,
circuits, systems, brains, experience, functions, and group intelligence.
Examples of fundamental discipline questions to be discussed:
* *Biology*: How do individually autonomous cells interact to give
rise to animal behaviors?
* *Neuroscience*: From an overarching perspective, how does the brain
* *Psychology*: How does an integrated brain architecture realize many
psychological learning models (e.g., classical conditioning and
* *Computer Science*: Why is the automata theory a special case of the
brain's neural network theory?
* *Electrical Engineering*: How does a brain perform general-purpose
nonlinear control, beyond Kalman filtering?
* *Mathematics*: How does a brain perform general-purpose
high-dimensional, nonlinear optimization?
* *Physics*: How do meanings arise from physics?
Juyang (John) Weng, Professor
Department of Computer Science and Engineering
MSU Cognitive Science Program and MSU Neuroscience Program
3115 Engineering Building
Michigan State University
East Lansing, MI 48824 USA
Email:weng at cse.msu.edu
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