Pure-Tone Intensity Discrimination and Energy Detection

McGill, W. J.; Goldberg, J. P.

doi:10.1121/1.1911123

Cited by 126 publications

(43 citation statements)

References 6 publications

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“…The ability to make intensity judgments is usually tested by asking the listener to compare an isolated standard of a known frequency and level with a target matched in duration and frequency and varying only in level (e.g., McGill and Goldberg, 1968;Jesteadt et al, 1977). Such paradigms provide stable estimates of threshold and extremely precise performance (thresholds of 2 dB or less).…”

Section: Introductionmentioning

confidence: 99%

Judgments of intensity for brief sequences

Gallun¹

2010

The Journal of the Acoustical Society of America

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The ability to make intensity judgments for sequential stimuli was examined with an intensity-discrimination task involving three 50-ms noise bursts with non-overlapping frequency ranges. Targets (single bursts) presented in three-burst sequences were required to be as much as 5 dB more intense than targets presented as single bursts in isolation, especially for the later targets. Randomizing target position in the sequence did not reliably reduce performance, nor were thresholds for younger and older listeners reliably different. These increases in increment detection threshold are indications of a specific intensity-processing deficit for stimuli occurring later in a sequence.

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Section: Introductionmentioning

confidence: 99%

Judgments of intensity for brief sequences

Gallun¹

2010

The Journal of the Acoustical Society of America

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“…Advances in Computer Science and Engineering 396 firing rate (e.g., Schiaffino, 1957;Barducci, 1961;McGill & Goldberg, 1968;Goldstein, 1974;Howes, 1974;Sachs & Abbas, 1974;Lachs et al, 1984;Sachs et al, 1989;Yates et al, 1990). However, Nizami and Schneider (1997) The actual derivation of Eq.…”

Section: Wwwintechopencommentioning

confidence: 99%

Lütkenhöner’s „Intensity Dependence of Auditory Responses“: An Instructional Example in How Not To Do Computational Neurobiology

Nizami¹

2011

Advances in Computer Science and Engineering

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“…Therefore, (13) and (14) (13) and (14) give w = a v , which together with (12) implies (6), where c and d are arbitrary constants. Put γ = a 31 .…”

Section: A Key Functional Equationmentioning

confidence: 99%

“…For examples of applications in psychophysics, see among many: [13], [8], and [6] (see also [5] for a general discussion). In that field, (3) is sometimes referred as the 'near-miss-to-Weber's-Law.'…”

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confidence: 99%

Compatibility of gain control and power law representations -- a János Aczél connection

Falmagne

Lundberg

2000

Aequationes Mathematicae

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Detection probabilities in sensory psychology are sometimes represented by a gain control equation, such as PHere, x and y are positive real numbers denoting ratio scale values of physical energies, P (x, y) is the probability of detecting stimulus x over background y, and u, g, h and F are real valued, continuous, strictly increasing functions. In some situations (e.g. in psychophysics), the researchers investigate empirically the detection phenomenon via the function µ satisfying µ(x; ρ) = y ⇔ P(x, y) = ρ. A reasonable model to consider for the function µ is offered by the power law representation µ(x; ρ) = x ζ(ρ) K(ρ) , in which ζ and K are nonconstant functions of ρ. In this paper we study the consistency of these gain control and power law representations. The main result is that, under some background conditions, if the gain control and the power law representations jointly hold, then the detection probability P takes necessarily the form P (x, y) = F α − ((γ ln y − θ)/(ln x + δ)) β . The form of the function F is arbitrary. Our proof is based on the solutions of the functional equation ϕ(t v(s) + w(s)) = s k(t) + f(t). Mathematics Subject Classification (2000). Primary 39B62, 39B22; Secondary 92J10.

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Pure-Tone Intensity Discrimination and Energy Detection

Cited by 126 publications

References 6 publications

Judgments of intensity for brief sequences

Judgments of intensity for brief sequences

Lütkenhöner’s „Intensity Dependence of Auditory Responses“: An Instructional Example in How Not To Do Computational Neurobiology

Compatibility of gain control and power law representations -- a János Aczél connection

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