Sun, X., Mangan, M. orcid.org/0000-0002-0293-8874 and Yue, S. (2018) An Analysis of a Ring Attractor Model for Cue Integration. In: Biomimetic and Biohybrid Systems. Conference on Biomimetic and Biohybrid Systems: Living Machines 2018, 17-20 Jul 2018, Paris, France. Lecture Notes in Computer Science (10928). Springer , pp. 459-470. ISBN 978-3-319-95971-9
Abstract
Animals and robots must constantly combine multiple streams of noisy information from their senses to guide their actions. Recently, it has been proposed that animals may combine cues optimally using a ring attractor neural network architecture inspired by the head direction system of rats augmented with a dynamic re-weighting mechanism. In this work we report that an older and simpler ring attractor network architecture, requiring no re-weighting property combines cues according to their certainty for moderate cue conflicts but converges on the most certain cue for larger conflicts. These results are consistent with observations in animal experiments that show sub-optimal cue integration and switching from cue integration to cue selection strategies. This work therefore demonstrates an alternative architecture for those seeking neural correlates of sensory integration in animals. In addition, performance is shown robust to noise and miniaturization and thus provides an efficient solution for artificial systems.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Springer. 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.The final publication is available at Springer via https://doi.org/10.1007/978-3-319-95972-6_49. |
Keywords: | Ring attractor; Cue integration; Sensor fusion; Optimal; Bayesian integration; Head direction cells |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Jul 2018 13:30 |
Last Modified: | 19 Dec 2022 13:50 |
Published Version: | https://doi.org/10.1007/978-3-319-95972-6_49 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-95972-6_49 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133448 |