jimenez-Rodiguez, A. and Prescott, A.J. orcid.org/0000-0003-4927-5390 (2023) Motivational modulation of consummatory behaviour and learning in a robot model of spatial navigation. In: Meder, F., Hunt, A., Margheri, L., Mura, A. and Mazzolai, B., (eds.) BIomimetic and Biohybrid Systems: 12th International Conference, Living Machines 2023, Genoa, Italy, July 10–13, 2023, Proceedings, Part II. Living Machines 2023, 10-13 Jul 2023, Genoa, Italy. Lecture Notes in Computer Science (LNAI 14158). Springer , Berlin , pp. 240-253. ISBN 9783031395031
Abstract
We present a biomimetic model of motivated behaviour based on the network architecture of the mammalian hypothalamus and its interaction with brain systems involved in reward, memory and decision-making. Specifically, a novel model of the hypothalamus, viewed as a layered structure, is integrated with a previously-developed model of the hippocampal-striatal network controlling a simulated robot in a navigation task. Hypothalamic modulation of model dopamine signals allows the robot to learn the location of reward while regulating simulated food intake. When ‘satiated’ the robot explores, when ‘hungry’ it moves towards the learned food source. We discuss the potential uses and future challenges of such models in the development of autonomous robots.
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Copyright, Publisher and Additional Information: | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Biomimetic and Biohybrid Systems: 12th International Conference, Living Machines 2023, Genoa, Italy, July 10–13, 2023, Proceedings, Part II. Uploaded in accordance with the publisher's self-archiving policy. | ||||
Keywords: | Hypothalamus; Motivation; Reinforcement learning; Navigation | ||||
Dates: |
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) | ||||
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 22 Sep 2023 09:03 | ||||
Last Modified: | 22 Sep 2023 09:24 | ||||
Status: | Published | ||||
Publisher: | Springer | ||||
Series Name: | Lecture Notes in Computer Science | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.1007/978-3-031-39504-8_17 | ||||
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