Hippocampus, Amygdala and Basal Ganglia Based Navigation Control

Authors:
Ansgar Koene;Tony J. Prescott
Affiliations:
Adaptive Behaviour Research Group, Sheffield University,Western Bank, Sheffield, UK S10 2TP;Adaptive Behaviour Research Group, Sheffield University,Western Bank, Sheffield, UK S10 2TP
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Year:
2009

Citing 3
Cited 0

Layered control architectures in robots and vertebrates

Adaptive Behavior
2005 Special issue: Spatial view cells in the hippocampus, and their idiothetic update based on place and head direction

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A robot model of the basal ganglia: Behavior and intrinsic processing

Neural Networks

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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.