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AIMS
Recent
development in studies of neurons, neural networks and cognitive behaviours indicates crucial roles of their
dynamical properties in representation of
information in the brain. We now seem to face to the complexity of these
dynamical properties to solve the principle of
brain computation. The approach must be essentially
interdisciplinary. Most of all, bridging between theoretical studies
and experimental studies are crucial to
solve the principle. The school is devoted
to graduate students and researchers with different scientific background
(including physics, mathematics, biology, neuroscience, etc) who wish
to learn brain science beyond the boundary of their fields. Each lecture is
to include basic guidance in each field. Topics
of lectures include visual system, olfactory system, hippocampus
memory and behavioural levels, where frontier efforts
in these decades have been successfully linked to recent remarkable
evolution. The goal of the
school is to present a systematic description of dynamics in the brain toward
understanding the computational theory in the brain. The course is organized as a series of lectures, complemented
by participants short presentations. We aim to promote a relaxed
atmosphere which will encourage informal interactions between all participants
and hopefully will lead to new professional relationships which will last
beyond the school |
