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A Computational Model of Neocortical-Hippocampal Cooperation and Its Application to Self-Localization

  • Michail Maniadakis
  • Panos Trahanias
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2801)

Abstract

Recently many computational modules of hippocampal system have been proposed, investigating mainly the development of place cells, similar to mammals, but without employed by other structures for further use. We propose a biologically plausible computational model of neocortical-hippocampal cooperation, which is based on familiarity recognition by neocortex, followed by a recall process in the hippocampus. Our model is implemented and tested in a simulated robotic platform, which shows that neocortex is able to interact with hippocampus for the development of a self-localization behaviour.

Keywords

Dentate Gyrus Inhibitory Neuron Place Cell Association Cortex Recurrent Connection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Michail Maniadakis
    • 1
  • Panos Trahanias
    • 2
  1. 1.Institute of Computer ScienceFoundation for Research and Technology-Hellas (FORTH)Heraklion, CreteGreece
  2. 2.Department of Computer ScienceUniversity of CreteHeraklion, CreteGreece

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