Fox, C. and Prescott, T. (2010) Hippocampus as unitary coherent particle filter. In: Neural Networks (IJCNN), The 2010 International Joint Conference on. The 2010 International Joint Conference on Neural Networks (IJCNN), 18-23 Jul 2010, Barcelona, Spain. IEEE 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. This is an author produced version of a paper subsequently published in Neural Networks (IJCNN), The 2010 International Joint Conference on. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Feb 2017 15:19 |
Last Modified: | 19 Dec 2022 13:34 |
Published Version: | https://doi.org/10.1109/IJCNN.2010.5596681 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/IJCNN.2010.5596681 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108432 |