Stimuli Design for Identification of Spatially Distributed Motion Detectors in Biological Vision Systems

Egi Hidayat, Mojtaba Soltanalian, Alexander Medvedev, Karin Nordstrom

    Research output: Contribution to conferencePaper

    Abstract

    Visual motion perception in biological vision systems is typically modeled via a set of elementary motion detectors (EMDs) forming a spatially distributed network. This paper addresses the problem of estimating the weights of such an EMD construct from a linear combination of their output signals. This challenge arises in e.g. mathematical modeling of animal motion perception. In particular, the spatial excitation properties of sinusoidal gratings are important since these basis signals are typically utilized as visual stimuli in biology. It is demonstrated that one cannot uniquely estimate the weights of more than three contributing EMDs with a single frequency sinusoidal grating as the visual stimulus. However, a higher spatial excitation order can be obtained with multi-frequency sinusoidal grating stimuli. Two approaches to the design of stimuli with a given spatial excitation order are presented. Several numerical examples are provided to examine the performance of the proposed stimuli design methods.

    Original languageEnglish
    Pages740-745
    Number of pages6
    DOIs
    Publication statusPublished - 2014
    Event2014 13th International Conference on Control, Automation, Robotics & Vision -
    Duration: 10 Dec 2014 → …

    Conference

    Conference2014 13th International Conference on Control, Automation, Robotics & Vision
    Period10/12/14 → …

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  • Cite this

    Hidayat, E., Soltanalian, M., Medvedev, A., & Nordstrom, K. (2014). Stimuli Design for Identification of Spatially Distributed Motion Detectors in Biological Vision Systems. 740-745. Paper presented at 2014 13th International Conference on Control, Automation, Robotics & Vision, . https://doi.org/10.1109/ICARCV.2014.7064396