Showing 1 - 9 results of 9 for search 'Oliver W Layton', query time: 0.03s Refine Results
  1. 1
    ARTFLOW: A Fast, Biologically Inspired Neural Network that Learns Optic Flow Templates for Self-Motion Estimation

    ARTFLOW: A Fast, Biologically Inspired Neural Network that Learns Optic Flow Templates for Self-Motion Estimation by Oliver W. Layton

    Published 2021-12-01
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  2. 2
    The accuracy of object motion perception during locomotion

    The accuracy of object motion perception during locomotion by Oliver W. Layton, Oliver W. Layton, Melissa S. Parade, Brett R. Fajen

    Published 2023-01-01
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  3. 3
    Distributed encoding of curvilinear self-motion across spiral optic flow patterns

    Distributed encoding of curvilinear self-motion across spiral optic flow patterns by Oliver W. Layton, Brett R. Fajen

    Published 2022-08-01
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  4. 4
    A unified model of heading and path perception in primate MSTd.

    A unified model of heading and path perception in primate MSTd. by Oliver W Layton, N Andrew Browning

    Published 2014-02-01
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  5. 5
    Competitive Dynamics in MSTd: A Mechanism for Robust Heading Perception Based on Optic Flow.

    Competitive Dynamics in MSTd: A Mechanism for Robust Heading Perception Based on Optic Flow. by Oliver W Layton, Brett R Fajen

    Published 2016-06-01
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  6. 6
    A model of how depth facilitates scene-relative object motion perception.

    A model of how depth facilitates scene-relative object motion perception. by Oliver W Layton, D C Niehorster

    Published 2019-11-01
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  7. 7
    Recurrent Competition Explains Temporal Effects of Attention in MSTd

    Recurrent Competition Explains Temporal Effects of Attention in MSTd by Oliver W. Layton, N. Andrew eBrowning

    Published 2012-10-01
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  8. 8
    Neural Dynamics of Feedforward and Feedback Processing in Figure-Ground Segregation

    Neural Dynamics of Feedforward and Feedback Processing in Figure-Ground Segregation by Oliver W. Layton, Ennio eMingolla, Arash eYazdanbakhsh

    Published 2014-09-01
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  9. 9
    A Dynamic Efficient Sensory Encoding Approach to Adaptive Tuning in Neural Models of Optic Flow Processing

    A Dynamic Efficient Sensory Encoding Approach to Adaptive Tuning in Neural Models of Optic Flow Processing by Scott T. Steinmetz, Oliver W. Layton, Nathaniel V. Powell, Brett R. Fajen

    Published 2022-04-01
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