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Hippocampus, Amygdala and Basal Ganglia Based Navigation Control

  • Ansgar Koene
  • Tony J. Prescott
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5768)

Abstract

In this paper we present a novel robot navigation system aimed at testing hypotheses about the roles of key brain areas in foraging behavior of rats. The key components of the control network are: 1. a Hippocampus inspired module for spatial localization based on associations between sensory inputs and places; 2. an Amygdala inspired module for the association of values with places and sensory stimuli; 3. a Basal Ganglia inspired module for the selection of actions based on the evaluated sensory inputs. By implementing this Hippocampus-Amygdala-Basal Ganglia based control network with a simulated rat embodiment we intend to test not only our understanding of the individual brain areas but especially the interaction between them. Understanding the neural circuits that allows rats to efficiently forage for food will also help to improve the ability of robots to autonomously evaluate and select navigation targets.

Keywords

Action selection navigation biologically inspired Hippocampus Amygdala Basal Ganglia place value association 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ansgar Koene
    • 1
  • Tony J. Prescott
    • 1
  1. 1.Adaptive Behaviour Research GroupSheffield University,Western BankSheffieldUK

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