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To clarify the neuronal mechanism of navigation behavior, we propose a mode
l of total system of neural network for a rodent to accomplish a navigation
task. The total system consists of a head direction map, a position recogn
ition map, a goal position map, a task dependent map, a value judgement sys
tem, and a motor system. We show the neuronal mechanism by which these maps
are self-organized during the navigation task, and the functional roles of
these maps in the achievement of the task. In the task dependent map, the
important places in the task field are memorized as dynamical attractors of
the network activity, and the task is accomplished by learning temporary t
he correlation between dynamical attractors, depending on the input from th
e value judgement system and on the strength of attention. (C) 2001 Elsevie
r Science B.V. All rights reserved.