After a short review of properties of biological place cells, mainly found in the hippocampal region of rodents, and a brief presentation of a biologically inspired navigation architecture relying on these cells, we will show how contextual information could facilitate scale changes to large environments. We thus present a simple model of spatial context allowing to both reduce noise effects on place cells (in biological model) and increase its computational performance. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Cuperlier, N., Gaussier, P., & Quoy, M. (2008). Interest of spatial context for a place cell based navigation model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5040 LNAI, pp. 169–178). https://doi.org/10.1007/978-3-540-69134-1_17
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