[Comp-neuro] Summer semester short course on "Understanding biological vision" in Beijing, July 2-13 2012

There will be a 2-week summer semester short course on "Understanding
biological vision, theory, data, and models" July 2-13, in Tsinghua
University, Beijing. This course will be mainly taught by Li Zhaoping
(see www.cs.ucl.ac.uk/staff/Zhaopoing.Li/), additional invited
lecturers will be announced during the course. See
http://cns.med.tsinghua.edu.cn/summercourse2012/ for more details.

This course introduces neural mechanisms and cognitive behaviors in
biological vision (particularly human or primate vision). It emphasizes
understanding the principles behind biological vision, and introduces
computational models. The predictions of the theories and models are
compared with or tested by experimental (physiological/psychological)
data. The topics includes visual encoding (neural mechanisms,
principles, and their modeling), visual attentional selection (neural
mechanisms, cognitive phenomena, models/theories and their experimental
tests), and (more briefly) visual perception/recognition (mechanism,
phenomena, models, and perspectives).

This course is suitable for students with physical science background
(physics/engineering/math/computer science) interested in learning
biological visual mechanisms, principles, and phenomena (e.g., those
with computer vision background are suitable). It is also suitable for
those with biological vision science background (e.g., vision
neuroscientists, vision psychophysicists) to learn computational approaches.

Although this is a Tsinghua University Course, a limited number of spare
seats in the lecture room will be available for interested students
outside Tsinghua University to audit the course. Lectures will be mainly
in English (Chinese explanations/answers to questions will be available
when requested).

For organization purpose, auditing students from outside Tsinghua
University must register (see the course website), and be admitted on
the basis of first-come-first-serve and the match between the
skills/background of the students and the pre-requisite/content of the
course.
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