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40 lines
2.3 KiB
XML
40 lines
2.3 KiB
XML
= VL 6
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What are the resulting graphs from convolution and correlation?
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As the distance towards an object approaches infinity, its binocular disparity approaches zero.
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Which of the following are reasons why the huaman visual system relies on processing binocular disapairy?
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- It supports accurate depth perception Yes
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- It enables steerospic 3D vision Yes
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- It aids in motion planning and interaction with objects such as reaching and grasping Yes
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- It enhances colour discrimination and sharpens visual activity Yes
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- It contributes to sound localisation through visual spatial integration Yes
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What is a key advantage of using phase-based methods compared to traditional window-based cross-correlation?
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- Phase-based methods allow for faster and more biological plausible computation of image disparity Yes
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- Phase-based methods completly remove noise from the image data Yes/No
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- No, window-based cross-corrleation is preferred because it is computatinally more efficient No
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- phase-based mehtods require no infrmation about local image structure No
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What are corrleations (cross or auto) used for
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- Determining the temporal relation between cell firing Yes
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- Measuring the self- similarity of cell firing Yes
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- Descritoi of network operation ssuch sas lateral inhibition No
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- Modeling tempral filter charactreristics of membranes No
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- Measuring the strenght of cell-to-cell connections Yes
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Select the correct statements about correlation fucntions
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- The correlation $h (x) = g (x) * f (x)$ is equal to $f (x) * g (x)$ mirrored at the Y-Axis Yes
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- Cross-correlation is sued to deterinme the spatioal realtion between two cells firing No
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- Cross corellatoin are used b ythe brain to determine motin and soud perception aspects Yes
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- Auto-correlatoin gives the similatity between bservations of a vairable and its time-shifted version Yes
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- auto correltaions always have their maximum peak at t=0 Yes
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- if the psike train has a period of tau then its autocorrletaio nfucntion ahs theirr maximum peak at $t = tau$ No
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- Auto corrletaion are approcimatley even functions Yes
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- the presence of noise can overdamp the amplitude of the oscillations of a given autocorrleation function Yes
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- auto correlations always show oscillatory patterns No
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Which crosscorrelatoin function represents to mutually activating neurons (activating each other)?
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