Whelan, M.T., Vasilaki, E. orcid.org/0000-0003-3705-7070 and Prescott, T.J. orcid.org/0000-0003-4927-5390 (2019) Robots that imagine – can hippocampal replay be utilized for robotic mnemonics? In: Martinez-Hernandez, U., Vouloutsi, V., Mura, A., Mangan, M., Asada, M., Prescott, T.J. and Verschure, P.F.M.J., (eds.) Biomimetic and Biohybrid Systems. 8th International Conference, Living Machines, 09-12 Jul 2019, Nara, Japan. Lecture Notes in Computer Science . Springer International Publishing , pp. 277-286. ISBN 9783030247409
Abstract
Neurophysiological studies on hippocampal replay, which was a phenomenon first shown in rodents as the reactivation of previously active hippocampal cells, has shown it to be potentially important for mnemonic functions such as memory consolidation/recall, learning and planning. Since its discovery, a small number of neuronal models have been developed to attempt to describe the workings of this phenomenon. But it may be possible to utilize hippocampal replay to help solve some of the difficult challenges that face robotic cognition, learning and memory, and/or be used for the development of biomimetic robotics. Here we review these models in the hope of learning their workings, and see that their neural network structures may be integrated into current neural network based algorithms for robotic spatial memory, and perhaps are particularly suited for reinforcement learning paradigms.
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: | © 2019 Springer Nature. This is an author-produced version of a paper subsequently published in Biomimetic and Biohybrid Systems. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Hippocampal replay; Memory; Planning; Reinforcement learning |
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) |
Funding Information: | Funder Grant number European Commission - Horizon 2020 785907 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Jan 2020 14:41 |
Last Modified: | 06 Jul 2020 00:40 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-24741-6_24 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155149 |