Modelling path integrator recalibration using hippocampal place cells

Authors:
T. Strösslin;R. Chavarriaga;D. Sheynikhovich;W. Gerstner
Affiliations:
École Polytechnique Fédérale de Lausanne (EPFL), Brain-Mind Institute and School of Computer and Communication Sciences, Lausanne, Switzerland;École Polytechnique Fédérale de Lausanne (EPFL), Brain-Mind Institute and School of Computer and Communication Sciences, Lausanne, Switzerland;École Polytechnique Fédérale de Lausanne (EPFL), Brain-Mind Institute and School of Computer and Communication Sciences, Lausanne, Switzerland;École Polytechnique Fédérale de Lausanne (EPFL), Brain-Mind Institute and School of Computer and Communication Sciences, Lausanne, Switzerland
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Year:
2005

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Combining Multimodal Sensory Input for Spatial Learning

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

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Abstract

The firing activities of place cells in the rat hippocampus exhibit strong correlations to the animal’s location. External (e.g. visual) as well as internal (proprioceptive and vestibular) sensory information take part in controlling hippocampal place fields. Previously it has been observed that when rats shuttle between a movable origin and a fixed target the hippocampus encodes position in two different frames of reference. This paper presents a new model of hippocampal place cells that explains place coding in multiple reference frames by continuous interaction between visual and self-motion information. The model is tested using a simulated mobile robot in a real-world experimental paradigm.