A Top-Down Approach for a Synthetic Autobiographical Memory System

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

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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:
  • Published: 24 July 2015
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:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7WYSIWYD - 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: https://doi.org/10.1007/978-3-319-22979-9_28
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