Context-based cognitive map learning for an autonomous robot using a model of cortico-hippocampal interplay

  • Ken Yasuhara
  • Hanspeter A. Mallot
Poster Presentations 1 Applications in Robotics and Industry
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1112)


This paper presents an additional module of cortico-hippocampal interplay to our view-based competitive sequence learning scheme of spatial memory. This new model was examined with a mobile robot. In this model both the orthogonalization of input patterns and the integration of object and spatial information are realized by use of a middle-term memory module as a model of hippocampal function. This scheme works well not only for orthogonal input views but also for highly correlated patterns. Even after the memory module is damaged, the robot can take the shortest path to the goal point if enough knowledge has been acquired prior to the damage.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Ken Yasuhara
    • 1
  • Hanspeter A. Mallot
    • 1
  1. 1.Max-Planck-Institut für biologische KybernetikTübingenGermany

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