Damianou, A., Ek, C.H., Boorman, L. orcid.org/0000-0001-5189-0232 et al. (2 more authors) (2015) A Top-Down Approach for a Synthetic Autobiographical Memory System. In: Biomimetic and Biohybrid Systems. 4th International Conference, Living Machines 2015, July 28 - 31, 2015, Barcelona, Spain. Lecture Notes in Computer Science, 9222 . Springer International Publishing , pp. 280-292. ISBN 978-3-319-22978-2
Abstract
Autobiographical memory (AM) refers to the organisation of one’s experience into a coherent narrative. The exact neural mechanisms responsible for the manifestation of AM in humans are unknown. On the other hand, the field of psychology has provided us with useful understanding about the functionality of a bio-inspired synthetic AM (SAM) system, in a higher level of description. This paper is concerned with a top-down approach to SAM, where known components and organisation guide the architecture but the unknown details of each module are abstracted. By using Bayesian latent variable models we obtain a transparent SAM system with which we can interact in a structured way. This allows us to reveal the properties of specific sub-modules and map them to functionality observed in biological systems. The top-down approach can cope well with the high performance requirements of a bio-inspired cognitive system. This is demonstrated in experiments using faces data.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Springer International Publishing Switzerland. 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: | Synthetic autobiographical memory; Hippocampus; Robotics; Deep Gaussian process; MRD |
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) The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 WYSIWYD - 612139 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Feb 2017 13:13 |
Last Modified: | 28 Mar 2018 05:16 |
Published Version: | https://doi.org/10.1007/978-3-319-22979-9_28 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-22979-9_28 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108449 |