Outputs of paired Gabor filters summed across the background frame of reference predict the direction of movement.
A cortical neural network that computes the visibility of shifts in the direction of movement is proposed that computes: 1) the magnitude of the position difference between the test and background patterns, 2) localized contrast differences at different spatial scales analyzed by computing temporal gradients of the difference and sum of the outputs of paired even- and odd-symmetric bandpass filters convolved with the input pattern, and 3) using global processes that pool the output from paired even- and odd-symmetric simple and complex cells across the spatial extent of the background frame of reference to determine the direction a test pattern moved relative to a textured background. Evidence is presented that magnocellular pathways are used to discriminate the direction of movement. Since magnocellular pathways are used to discriminate the direction of movement, this task is not affected by small pattern changes such as jitter, short presentations, blurring, and different background contrasts that result when the veiling illumination in a scene changes.
Lawton
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TB
D001185:Artificial Intelligence; D006801:Humans; D008432:Mathematical Computing; D008959:Models, Neurological; D009039:Motion Perception / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology