Girard, B., Cuzin, V., Guillot, A. et al. (2 more authors) (2003) A basal ganglia inspired model of action selection evaluated in a robotic survival task. Journal of Integrative Neuroscience, 2 (2). pp. 179-200. ISSN 0219-6352
Abstract
The basal ganglia system has been proposed as a possible neural substrate for action selection in the vertebrate brain. We describe a robotic implementation of a model of the basal ganglia and demonstrate the capacity of this system to generate adaptive switching between several acts when embedded in a robot that has to "survive" in a laboratory environment. A comparison between this brain-inspired selection mechanism and classical "winner-takes-all" selection highlights some adaptive properties specific to the model, such as avoidance of dithering and energy-saving. These properties derive, in part, from the capacity of simulated basal ganglia-thalamo-cortical loops to generate appropriate "behavioral persistence".
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2003 World Scientific Publishing. This is an author produced version of a paper subsequently published in Journal of Integrative Neuroscience. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Animals; Basal Ganglia; Behavior; Computer Simulation; Electric Wiring; Equipment Design; Humans; Models, Neurological; Robotics; Survival |
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: | 14 Nov 2016 14:53 |
Last Modified: | 27 Mar 2018 20:19 |
Published Version: | http://dx.doi.org/10.1142/S0219635203000299 |
Status: | Published |
Publisher: | World Scientific Publishing |
Refereed: | Yes |
Identification Number: | 10.1142/S0219635203000299 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:107036 |