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    A normative model of attention: receptive field modulation


    Jaramillo, Santiago and Pearlmutter, Barak A. (2004) A normative model of attention: receptive field modulation. Neurocomputing, 58-60. pp. 613-618. ISSN 0925-2312

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    Abstract

    When sensory stimuli are encoded in a lossy fashion for efficient transmission, there are necessarily tradeoffs between the represented fidelity of various aspects of the stimuli. In the model of attention presented here, a top-down signal informs the encoder of these tradeoffs. Given the stimulus ensemble and tradeoff requirements, our system learns an optimal encoder. This general model is instantiated in a simple network: an autoencoder with a bottleneck, innervated by a top-down attentional signal, and trained using backpropagation. The modulation of neural activity learned by this model qualitatively matches that measured in animals during visual attention tasks.

    Item Type: Article
    Keywords: Attention; Neural coding; Learning; Receptive field;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8120
    Identification Number: https://doi.org/10.1016/j.neucom.2004.01.103
    Depositing User: Barak Pearlmutter
    Date Deposited: 05 Apr 2017 15:37
    Journal or Publication Title: Neurocomputing
    Publisher: Elsevier
    Refereed: Yes
    URI:

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