Wiener analysis of grating contrast judgments

Abel, Larry A; Quick, R. Frank

doi:10.1016/0042-6989(78)90031-7

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…Versions of the sandwich model have been explored in analyzing the nonlinear interactions between stimuli of two or more sinusoidal frequencies or interactions within white noise for the study of spatial vision (Burton, 1973;Henning, Hertz, & Broadbent, 1975;MacLeod et al, 1992;Williams, 1985), temporal vision (Burns et al, 1992;MacLeod & He, 1993), color vision (Chang, Kreitz, & Burns, 1993;Stockman & MacLeod, 1992;Stockman et al, 1993;Stockman & Plummer, 1998), and brightness enhancement (Krauskopf, Wu, & Farell, 1996;Wu et al, 1996). Wiener analysis has also been used to distinguish the linear and nonlinear stages of spatial vision (e.g., Abel & Quick, 1978). The work reported here is an extension of measurements by Stockman and Plummer (1998) in which they used the sandwich model to dissect the S-cone pathway.…”

Section: Introductionmentioning

confidence: 99%

The temporal characteristics of the early and late stages of the L- and M-cone pathways that signal color

2013

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Flickering long-wavelength light appears more yellow than steady light of the same average intensity. The hue change is consistent with distortion of the visual signal at some nonlinear site (or sites) that produces temporal components not present in the original stimulus (known as distortion products). We extracted the temporal attenuation characteristics of the early (prenonlinearity) and late (post-nonlinearity) filter stages in the L- and M-cone chromatic pathway by varying the input stimulus to manipulate the distortion products and the measuring of the observers' sensitivity to them. The early, linear, filter stage acts like a band-pass filter peaking at 10-15 Hz with substantial sensitivity losses at both lower and higher frequencies. Its characteristics are consistent with nonlinearity being early in the visual pathway but following surround inhibition. The late stage, in contrast, acts like a low-pass filter with a cutoff frequency around 3 Hz. The response of the early stage speeds up with radiance, but the late stage does not. A plausible site for the nonlinearity, which modelling suggests may be smoothly compressive but with a hard limit at high input levels, is after surround inhibition from the horizontal cells.

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Section: Introductionmentioning

confidence: 99%

The temporal characteristics of the early and late stages of the L- and M-cone pathways that signal color

2013

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“…One way that grouplevel averages have been examined within perception science is through computational datadriven methods. These methods are capable of measuring and visualizing how people view stimuli in their "mind's eye" (for reviews see, [29][30][31] and have proven crucial to understanding the mental representations of a variety of stimuli, including visual stereotypes of social groups, facial emotions, specific facial attributes, identities, and objects (2,(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44).…”

Section: Individualized Models Of Social Judgments and Context-depend...mentioning

confidence: 99%

Individualized Models of Social Judgments and Context-Dependent Representations

Albohn,

Uddenberg,

Todorov

2024

Preprint

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How individuals view the world is critical to understanding human behavior. Yet, almost all research within perception has drawn inferences from group-level behavior, with little work focused on understanding how the individual perceives their world. However, for complex judgments (e.g., trustworthiness), most of the meaningful variance is due to factors specific to the individual. Here we showcase a data-driven reverse correlation method for visualizing any perceptually-derived stereotype at the individual level. We show that our method 1) produces photorealistic and reliable results related to a broad range of judgments, 2) produces valid, psychologically-aligned representations of what individuals are imagining “in their mind’s eye”, and 3) is capable of capturing visual representations sensitive enough to examine context-dependent categories (e.g., a trustworthy individual to babysit your children vs. a trustworthy individual to fix your car). Across all studies, we highlight the theoretical implications and utility of developing idiosyncratic models of visual perception.

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Nonlinear analysis of spatial vision using first-and-second-order volterra transfer functions measurement

Logvinenko

1990

Vision Research

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Wiener analysis of grating contrast judgments

Cited by 4 publications

References 21 publications

The temporal characteristics of the early and late stages of the L- and M-cone pathways that signal color

The temporal characteristics of the early and late stages of the L- and M-cone pathways that signal color

Individualized Models of Social Judgments and Context-Dependent Representations

Nonlinear analysis of spatial vision using first-and-second-order volterra transfer functions measurement

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