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We then applied these maps to a feedforward model of orientation selectivity.
This changes the diffraction pattern which now does not accurately describe the prevailing model of orientation, creates the additional diffraction reflections, and is clearly elucidated by HRTEM.
Recently, Harrison and Bex [3] presented "A Unifying Model of Orientation Crowding in Peripheral Vision", which elegantly explains these two characteristics of crowding with one unifying mechanism.
As an example, Camperi and Wang [24] have proposed and studied a network model of visuo-spatial working memory in prefontal cortex adapted from the ring model of orientation of Ben-Yishai and colleagues [1].
The embedding of the ring model of orientation in the structure tensor model can be explained by the intrinsic relation that exists between the two sets of matrices SPD ( 2, R ) and S + ( 1, 2 ).
A further motivation was the following studies of Bressloff and Cowan [4, 13, 14] where they study a spatial extension of the ring model of orientation of Ben-Yishai [1] and Hansel, Sompolinsky [2].
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We also link our model to the ring model of orientations.
Moreover our study has to be thought of as the analog in the case of the structure tensor model to the analysis of tuning curves of the ring model of orientations (see [1, 2, 19, 35]).
This model is an approach to the representation and processing of textures and edges in the visual area V1 which contains as a special case the well-known ring model of orientations (see [1, 2, 19]).
It follows from the above discussion that the structure tensor contains, at a given scale, more information than the local image intensity gradient at the same scale and that it is possible to recover the ring model of orientations from the structure tensor model.
A recent prospective study from Belgium [ 36], attempted to predict a woman's childbirth experience using antenatal expectations of birth and the Raphael-Leff model of orientations.
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