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Perceptual Coherence : Hearing and Seeing

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Gain Control <strong>and</strong> External <strong>and</strong> Internal Noise 247<br />

is further transformed in two ways. First, an expansive nonlinear power<br />

function accentuates the higher intensities. Second, the input is squared,<br />

multiplied by the internal multiplicative noise fraction, <strong>and</strong> added to the<br />

transformed signal. Finally, additive equivalent input noise independent of<br />

the signal also is added so that the effective stimulus becomes<br />

transformed input signal + external noise + independent multiplicative<br />

equivalent input noise + independent additive equivalent input noise<br />

<strong>and</strong> that stimulus is used to make a decision about the presence or absence<br />

of the signal. The basic model assumes that the calculation-decision process<br />

is independent of the stimulus.<br />

Researchers (Gold, Bennett, & Sekular, 1999; R. W. Li, Levi, & Klein,<br />

2004; Z.-L. Lu & Dosher, 2004) used such a model to investigate whether<br />

practice reduced the equivalent input noise or increased the efficiency of<br />

Figure 6.3. The basic threshold versus external noise function (threshold versus<br />

intensity, TVI) consists of two segments (A). The flat segment is due to the equivalent<br />

internal noise, <strong>and</strong> the sloping segment is due to the effect of the external contrast<br />

noise. Representations of the effects of reduced internal (B), external (C), <strong>and</strong><br />

multiplicative noise (D) are depicted by the darkening line segments <strong>and</strong> by the direction<br />

of the arrow. Adapted from “<strong>Perceptual</strong> Learning Retunes the <strong>Perceptual</strong><br />

Template in Foveal Orientation Identification,” by Z.-L. Lu <strong>and</strong> B. A. Dosher, 2004,<br />

Journal of Vision, 4, 44–56.

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