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Perceptual Coherence : Hearing and Seeing

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246 <strong>Perceptual</strong> <strong>Coherence</strong><br />

For the detection of spatial gratings in dynamic noise, the observer’s<br />

equivalent input noise at most spatiotemporal frequencies mainly reflects<br />

the inability to capture or make use of all the quanta coming from the<br />

image, photon noise. Across a fourfold range of luminances (10,000), just a<br />

small fraction of the corneal quanta (1–10%) are actually encoded <strong>and</strong> used<br />

perceptually. Only at very low spatiotemporal frequencies, when the image<br />

is essentially constant, does the neural noise become predominant. This<br />

suggests that our simple model should incorporate a filter that reflects the<br />

frequency selectivity of the pathway.<br />

We can put all of this together in a basic model of the human observer<br />

detecting a grating embedded in noise, shown in figure 6.2. Z-L. Lu <strong>and</strong><br />

Dosher (1999) termed these sorts of models noisy linear amplifiers (perfect<br />

linear amplification with additive noise). If we track the figure from input<br />

to output, an external noise <strong>and</strong> the signal (in terms of the contrast of the<br />

image squared, c 2 ) controlled by the experimenter are summed together.<br />

We use c 2 (contrast power or variance) because the variance of the sum of<br />

independent components is simply the sum of the individual components,<br />

<strong>and</strong> that makes the theoretical development easier. (We could use the variance<br />

to model the contrast necessary for the perception of second-order<br />

movement in chapter 5.) The signal + external noise first passes through a<br />

template (e.g., a spatial frequency filter) that restricts the processing to just<br />

part of the energy reaching the observer. The filtered signal + external noise<br />

Figure 6.2. A model of noisy linear amplifiers (perfect linear amplification with<br />

additive noise). The input signal is squared, multiplied by the input multiplicative<br />

noise fraction (N M ) <strong>and</strong> then added back to the signal path. In similar fashion, the<br />

additive noise (N A ) is added to the signal path. From “Characterizing Human <strong>Perceptual</strong><br />

Inefficiencies With Equivalent Internal Noise,” by Z.-L. Lu <strong>and</strong> B. A.<br />

Dosher, 1999, Journal of the Optical Society of America, A, 16, 764–778. Copyright<br />

1999 by the Optical Society of America. Reprinted with permission.

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