Fox, C orcid.org/0000-0002-6695-8081 and Prescott, T (2010) Hippocampus as unitary coherent particle filter. In: The 2010 International Joint Conference on Neural Networks (IJCNN). The 2010 International Joint Conference on Neural Networks (IJCNN), 18-23 Jul 2010, Barcelona, Spain. IEEE , pp. 1-8. ISBN 978-1-4244-6916-1
Abstract
We present a mapping of the hippocampal formation onto a Temporal Restricted Boltzmann Machine [1] based architecture, running a deterministic version of Gibbs sampling, and extended with a lostness detection and recovery circuit modelled on subiculum and septal acetylcholine (ACh). The mapping approximates Bayesian filtering, which infers both auto-associative de-noised percepts and temporal sequences, the latter including sequences of places during navigation. Inference may be viewed as a neurally implemented particle filter with a single particle-as suggested previously [2] as a purely behavioural animal model.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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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: | 19 Aug 2019 10:54 |
Last Modified: | 22 Aug 2019 04:19 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/IJCNN.2010.5596681 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108622 |