Boorman, L.W. orcid.org/0000-0001-5189-0232, Damianou, A.C., Martinez-Hernandez, U. et al. (1 more author) (2015) Extending a Hippocampal Model for Navigation Around a Maze Generated from Real-World Data. 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. 441-452. ISBN 978-3-319-22978-2
Abstract
An essential component in the formation of understanding is the ability to use past experience to comprehend the here and now, and to aid selection of future action. Past experience is stored as memories which are then available for recall at very short notice, allowing for understanding of short and long term action. Autobiographical memory (ABM) is a form of temporally organised memory and is the organisation of episodes and contextual information from an individual’s experience into a coherent narrative, which is key to a sense of self. Formation and recall of memories is essential for effective and adaptive behaviour in the world, providing contextual information necessary for planning actions and memory functions, such as event reconstruction. Here we tested and developed a previously defined computational memory model, based on hippocampal structure and function, as a first step towards developing a synthetic model of human ABM (SAM). The hippocampal model chosen has functions analogous to that of human ABM. We trained the model on real-world sensory data and demonstrate successful, biologically plausible memory formation and recall, in a navigational task. The hippocampal model will later be extended for application in a biologically inspired system for human-robot interaction.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
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: | Autobiographical memory; Episodic memory; Hippocampus; Robotics; Temporally restricted boltzmann machine; Navigation |
Dates: |
|
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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Feb 2017 13:10 |
Last Modified: | 23 Mar 2018 00:10 |
Published Version: | https://doi.org/10.1007/978-3-319-22979-9_44 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-22979-9_44 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108448 |