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    Feedback control strategies for spatial navigation revealed by dynamic modelling of learning in the Morris water maze

    Fey, Dirk and Commins, Sean and Bullinger, Eric (2011) Feedback control strategies for spatial navigation revealed by dynamic modelling of learning in the Morris water maze. Journal of Computational Neuroscience, 30 (2). pp. 447-454. ISSN 0929-5313

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    The Morris water maze is an experimental procedure in which animals learn to escape swimming in a pool using environmental cues. Despite its success in neuroscience and psychology for studying spatial learning and memory, the exact mnemonic and navigational demands of the task are not well understood. Here, we provide a mathematical model of rat swimming dynamics on a behavioural level. The model consists of a random walk, a heading change and a feedback control component in which learning is reflected in parameter changes of the feedback mechanism. The simplicity of the model renders it accessible and useful for analysis of experiments in which swimming paths are recorded. Here, we used the model to analyse an experiment in which rats were trained to find the platform with either three or one extramaze cue. Results indicate that the 3-cues group employs stronger feedback relying only on the actual visual input, whereas the 1-cue group employs weaker feedback relying to some extent on memory. Because the model parameters are linked to neurological processes, identifying different parameter values suggests the activation of different neuronal pathways.

    Item Type: Article
    Additional Information: Cite as: Fey, D., Commins, S. & Bullinger, E. J Comput Neurosci (2011) 30: 447.
    Keywords: Autoregression; Dynamic modelling; Learning and memory; Random walk; Navigation; Spatial memory; Water maze; Autocorrelation; Autoregressive model;
    Academic Unit: Faculty of Science and Engineering > Psychology
    Item ID: 10713
    Identification Number:
    Depositing User: Dr. Sean Commins
    Date Deposited: 10 Apr 2019 14:13
    Journal or Publication Title: Journal of Computational Neuroscience
    Publisher: Springer Science+Business Media
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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