Abstract
We show that by cascading the disparity energy model and the motion energy model, we obtain neurons that are selective for changing disparity, which is a cue that biological systems may use in the perception of stereo-motion. We demonstrate that the outputs of this model exhibit joint tuning to disparity and stereo-motion. The output achieves a peak response for an input with a preferred disparity that also changes at a preferred rate. The joint tuning curve in the disparity–change of disparity space is approximately separable. We further demonstrate that incorporating a normalization step between the two stages reduces the variability of the model output.
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© 2008 Springer-Verlag Berlin Heidelberg
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Guo, X., Shi, B.E. (2008). A Two Stage Energy Model Exhibiting Selectivity to Changing Disparity. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87732-5_6
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DOI: https://doi.org/10.1007/978-3-540-87732-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87731-8
Online ISBN: 978-3-540-87732-5
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