AIMS

Recent development in studies of neurons, neural networks andcognitive behaviours indicates crucial roles of their dynamical propertiesin 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