Koene, A. and Prescott, T.J. (2009) Hippocampus, Amygdala and Basal Ganglia Based Navigation Control. In: Alippi, C., Polycarpou, M., Panayiotou, C. and Ellinas, G., (eds.) Artificial Neural Networks – ICANN 2009. ICANN 2009, September 14-17, 2009, Limassol, Cyprus. Lecture Notes in Computer Science, 5768 . Springer, Berlin, Heidelberg , pp. 267-276. ISBN 978-3-642-04273-7
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Springer-Verlag Berlin Heidelberg 2009. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Action selection; navigation; biologically inspired; Hippocampus; Amygdala; Basal Ganglia; place value association; FREELY-MOVING RAT; PLACE; SELECTION; BEHAVIOR; MEMORY |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Feb 2017 15:31 |
Last Modified: | 12 Apr 2017 12:09 |
Published Version: | https://doi.org/10.1007/978-3-642-04274-4_28 |
Status: | Published |
Publisher: | Springer, Berlin, Heidelberg |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-642-04274-4_28 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108437 |