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Perceptual Coherence : Hearing and Seeing

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To review, neurons sensitive to motion direction are found in the primary<br />

visual area V1 stemming from the magnocellular pathways that are insensitive<br />

to color <strong>and</strong> stationary contours, but that make strong transient firing responses<br />

to moving contours. The V1 neurons project to the middle temporal<br />

visual area <strong>and</strong> then onto the medial superior temporal area. For the higher<br />

regions, the general rule is that the size of the receptive field increases <strong>and</strong><br />

the selectivity for complex motion patterns increases. The basic conception<br />

is that the direction-sensitive neurons in V1 with small receptive fields extract<br />

the local motion signals autonomously, <strong>and</strong> those local motion signals<br />

are integrated in the temporal areas to form objects <strong>and</strong> surfaces.<br />

On this basis, models for motion aftereffects are composed of two parts.<br />

The first is adaptation in the first-stage local motion detectors. Barlow <strong>and</strong><br />

Hill (1963) measured the firing rate to rotating r<strong>and</strong>om dot patterns in the<br />

rabbit retina. They found that the rate decreased over a period of about 20 s.<br />

After the pattern was removed, the firing rate dropped below its baseline<br />

<strong>and</strong> gradually recovered over a period of about 30 s.<br />

The second part is competitive comparison between the local motion detectors<br />

in a second stage of analysis. Motion aftereffects occur when the<br />

unadapted detectors override the adapted detectors. Often the comparison<br />

is between opposing motion detectors so that the aftereffect is reversed motion,<br />

but that is not always the case. The motion aftereffects seem due to the<br />

drop in responsiveness of the adapted neurons. There is little change in the<br />

unadapted neurons.<br />

Motion Integration<br />

Perception of Motion 221<br />

Vidnyanszky, Blaser, <strong>and</strong> Papathomas (2002) summarized interesting research<br />

illustrating how the segmentation of r<strong>and</strong>om dot movements into one<br />

surface or two transparent surfaces affects the motion aftereffect. If there<br />

is a pattern of moving dots, the local direction of movements determines<br />

whether we perceive one coherent surface or two transparent surfaces moving<br />

relative to one another (similar to the two possible perceptions resulting<br />

from the movement of two gratings shown in figure 5.6). The motion aftereffects<br />

are particularly interesting in the latter case because there are two<br />

adapting directions at each point in space, <strong>and</strong> so we might expect that the<br />

motion aftereffect would also be in two directions. But that is not the outcome<br />

due to the integration of motion from all directions.<br />

Consider the prototypical case: coherent motion of all of the dots to<br />

the right, creating the perception of a single surface moving to the right<br />

(figure 5.11A). That motion would adapt <strong>and</strong> reduce the firing rates of the<br />

rightward-direction neurons. When followed by a static dot pattern, the<br />

normal balance in the firing rates between the leftward <strong>and</strong> rightward neurons<br />

that yield no motion would have been disrupted. The leftward neurons

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