Machines Learning - Towards a New Synthetic Autobiographical Memory

Evans, MH, Fox, CW and Prescott, TJ (2014) Machines Learning - Towards a New Synthetic Autobiographical Memory. In: Duff, A, Lepora, NF, Mura, A, Prescott, TJ and Verschure, PFMJ, (eds.) Biomimetic and Biohybrid Systems. 3rd International Conference on Biomimetic and Biohybrid Systems: Living Machines 2014, 30 Jul - 01 Aug 2014, Milan, Italy. Lecture Notes in Computer Science, 8608 . Springer Verlag , pp. 84-96. ISBN 978-3-319-09434-2

Abstract

Metadata

Authors/Creators:
  • Evans, MH
  • Fox, CW
  • Prescott, TJ
Copyright, Publisher and Additional Information: © Springer International Publishing Switzerland 2014. This is an author produced version of a paper published in Lecture Notes in Computer Science. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-09435-9_8. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Synthetic, Autobiographical, Memory, Episodic, Hippocampus, Robotics, Predictive, Coding, Deep, Learning
Dates:
  • Published: 30 July 2014
  • Accepted: 1 May 2014
  • Published (online): 30 July 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 17 Jun 2016 09:28
Last Modified: 16 Jan 2018 08:01
Published Version: http://dx.doi.org/10.1007/978-3-319-09435-9_8
Status: Published
Publisher: Springer Verlag
Series Name: Lecture Notes in Computer Science
Identification Number: https://doi.org/10.1007/978-3-319-09435-9_8

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