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        Weighted cue integration in the rodent head direction system

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        2013_Knight_et_al_Phil_Trans_Roy_Soc.pdf (PDF, 808Kb)
        Author
        Knight, Rebecca
        Piette, Caitlin
        Page, Hector
        Walters, Daniel
        Marozzi, Elizabeth
        Nardini, Marko
        Stringer, Simon
        Jeffery, Kathryn
        Attention
        2299/12567
        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.
        Publication date
        2014-02-05
        Published in
        Philosophical Transactions B: Biological Sciences
        Published version
        https://doi.org/10.1098/rstb.2012.0512
        Other links
        http://hdl.handle.net/2299/12567
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