Summary: A MODEL OF PREFRONTAL COLUMNAR ORGANIZATION FOR
MULTISCALE SPATIAL PLANNING
Louis-Emmanuel Martinet1,2
and Angelo Arleo1
1
CNRS - UPMC Univ Paris 6, UMR 7102, F-75005, Paris, France
2
CNRS - UPMC Univ Paris 6, UMR 7222, F-75005, Paris, France
louis-emmanuel.martinet@upmc.fr
ABSTRACT
An important issue in spatial memory is the learning of
abstract representations suitable for navigation
planning. To address this problem, we have already
developed a planning system inspired by the columnar
organization of the mammalian cortex [1]. This model
provides a neuromimetic architecture capable of
learning topological spatial representations and
planning goal-directed actions. The work presented here
deals with the ability to encode multiscale
representations of the environment, in order to solve

Source: Arleo, Angelo - Laboratory of Neurobiology of Adaptive Processes, Université Pierre-et-Marie-Curie, Paris 6

Collections: Biology and Medicine