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Weighted cue integration in the rodent head direction system

Research output: Contribution to journalArticlepeer-review

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Weighted cue integration in the rodent head direction system. / Knight, Rebecca; Piette, Caitlin; Page, Hector; Walters, Daniel; Marozzi, Elizabeth; Nardini, Marko; Stringer, Simon; Jeffery, Kathryn.

In: Philosophical Transactions B: Biological Sciences, Vol. 369, No. 1635, 20120512, 05.02.2014.

Research output: Contribution to journalArticlepeer-review

Harvard

Knight, R, Piette, C, Page, H, Walters, D, Marozzi, E, Nardini, M, Stringer, S & Jeffery, K 2014, 'Weighted cue integration in the rodent head direction system', Philosophical Transactions B: Biological Sciences, vol. 369, no. 1635, 20120512. https://doi.org/10.1098/rstb.2012.0512

APA

Knight, R., Piette, C., Page, H., Walters, D., Marozzi, E., Nardini, M., Stringer, S., & Jeffery, K. (2014). Weighted cue integration in the rodent head direction system. Philosophical Transactions B: Biological Sciences, 369(1635), [20120512]. https://doi.org/10.1098/rstb.2012.0512

Vancouver

Author

Knight, Rebecca ; Piette, Caitlin ; Page, Hector ; Walters, Daniel ; Marozzi, Elizabeth ; Nardini, Marko ; Stringer, Simon ; Jeffery, Kathryn. / Weighted cue integration in the rodent head direction system. In: Philosophical Transactions B: Biological Sciences. 2014 ; Vol. 369, No. 1635.

Bibtex

@article{33c9c3a35c1342fa87c4d6c48dab9bf1,
title = "Weighted cue integration in the rodent head direction system",
abstract = "How the brain combines information from different sensory modalities and of differing reliability is an important and still-unanswered question. Using the head direction (HD) system as a model, we explored the resolution of conflicts between landmarks and background cues. Sensory cue integration models predict averaging of the two cues, whereas attractor models predict capture of the signal by the dominant cue. We found that a visual landmark mostly captured the HD signal at low conflicts: however, there was an increasing pro- pensity for the cells to integrate the cues thereafter. A large conflict presented to naive rats resulted in greater visual cue capture (less integration) than in experienced rats, revealing an effect of experience. We propose that weighted cue integration in HD cells arises from dynamic plasticity of the feed-forward inputs to the network, causing within-trial spatial redistribution of the visual inputs onto the ring. This suggests that an attractor network can implement decision processes about cue reliability using simple architecture and learning rules, thus providing a potential neural substrate for weighted cue integration.",
keywords = "head direction cells, sensory cue integration, path integration, attractor dynamics, vision, vestibular system",
author = "Rebecca Knight and Caitlin Piette and Hector Page and Daniel Walters and Elizabeth Marozzi and Marko Nardini and Simon Stringer and Kathryn Jeffery",
note = "{\textcopyright} 2013 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited. Knight R, Piette CE, Page H, Walters D, Marozzi E, Nardini M, Stringer S, Jeffery KJ., 'Weighted cue integration in the rodent head direction system', Phil.Trans. R. Soc. B 369: 20120512. The version of record is available online at doi: http://dx.doi.org/10.1098/rstb.2012.0512",
year = "2014",
month = feb,
day = "5",
doi = "10.1098/rstb.2012.0512",
language = "English",
volume = "369",
journal = "Philosophical Transactions B: Biological Sciences",
issn = "0962-8436",
publisher = "Royal Society of London",
number = "1635",

}

RIS

TY - JOUR

T1 - Weighted cue integration in the rodent head direction system

AU - Knight, Rebecca

AU - Piette, Caitlin

AU - Page, Hector

AU - Walters, Daniel

AU - Marozzi, Elizabeth

AU - Nardini, Marko

AU - Stringer, Simon

AU - Jeffery, Kathryn

N1 - © 2013 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited. Knight R, Piette CE, Page H, Walters D, Marozzi E, Nardini M, Stringer S, Jeffery KJ., 'Weighted cue integration in the rodent head direction system', Phil.Trans. R. Soc. B 369: 20120512. The version of record is available online at doi: http://dx.doi.org/10.1098/rstb.2012.0512

PY - 2014/2/5

Y1 - 2014/2/5

N2 - How the brain combines information from different sensory modalities and of differing reliability is an important and still-unanswered question. Using the head direction (HD) system as a model, we explored the resolution of conflicts between landmarks and background cues. Sensory cue integration models predict averaging of the two cues, whereas attractor models predict capture of the signal by the dominant cue. We found that a visual landmark mostly captured the HD signal at low conflicts: however, there was an increasing pro- pensity for the cells to integrate the cues thereafter. A large conflict presented to naive rats resulted in greater visual cue capture (less integration) than in experienced rats, revealing an effect of experience. We propose that weighted cue integration in HD cells arises from dynamic plasticity of the feed-forward inputs to the network, causing within-trial spatial redistribution of the visual inputs onto the ring. This suggests that an attractor network can implement decision processes about cue reliability using simple architecture and learning rules, thus providing a potential neural substrate for weighted cue integration.

AB - How the brain combines information from different sensory modalities and of differing reliability is an important and still-unanswered question. Using the head direction (HD) system as a model, we explored the resolution of conflicts between landmarks and background cues. Sensory cue integration models predict averaging of the two cues, whereas attractor models predict capture of the signal by the dominant cue. We found that a visual landmark mostly captured the HD signal at low conflicts: however, there was an increasing pro- pensity for the cells to integrate the cues thereafter. A large conflict presented to naive rats resulted in greater visual cue capture (less integration) than in experienced rats, revealing an effect of experience. We propose that weighted cue integration in HD cells arises from dynamic plasticity of the feed-forward inputs to the network, causing within-trial spatial redistribution of the visual inputs onto the ring. This suggests that an attractor network can implement decision processes about cue reliability using simple architecture and learning rules, thus providing a potential neural substrate for weighted cue integration.

KW - head direction cells

KW - sensory cue integration

KW - path integration

KW - attractor dynamics

KW - vision

KW - vestibular system

U2 - 10.1098/rstb.2012.0512

DO - 10.1098/rstb.2012.0512

M3 - Article

VL - 369

JO - Philosophical Transactions B: Biological Sciences

JF - Philosophical Transactions B: Biological Sciences

SN - 0962-8436

IS - 1635

M1 - 20120512

ER -