In normal functioning, visual percepts are often used to make predictions for tactile properties like soft, stiff, brittle, sharp, dull, sticky, or slippery, whereas touch is rarely used to make predictions for visual percepts [7].
The asymmetry in the nonlinearities derived from the subjective matching data made a clear prediction for visual performance: there should be more binocular summation for detecting luminance increments than for detecting luminance decrements.
We therefore trade in sensitivity for a high specificity value because a high confidence recombination prediction is desirable for visual analysis purposes and because sequences with some but not high enough recombination support will still be linked to one of the ancestral donor sequences.
While our results provide only indirect support for visual prediction, our findings directly impact on the "attentional shift" approach proposed by Baldo and Klein [55], [56].
PsN 3.6.9 [ 16– 18] was used for prediction-corrected visual predictive checks (pcVPC).
Leinweber, M., Ward, D. R., Sobczak, J. M., Attinger, A. & Keller, G. B. A sensorimotor circuit in mouse cortex for visual flow predictions.
Zago, M., McIntyre, J., Senot, P. & Lacquaniti, F. Internal models and prediction of visual gravitational motion.
Thus, our findings suggest that information processing between V5 and V1 is crucial for visual motion prediction, providing experimental support for the predictive coding framework.
For visual comparison, prediction results for databases I and II are shown in Figures 13 and 14, respectively.
Based on these characteristics, we design two stereo-vision models for visual saliency prediction: one based on stereo contrast and the other based on stereo focus.
The purpose of such abstract information feedback might be to provide early visual cortex with a categorical prediction for the incoming visual input.
