<i>Human Color Perception: A Critical Study of the Experimental Foundation</i>

Sheppard, Joseph J.; Nimeroff, I.

doi:10.1063/1.3035641

Cited by 8 publications

(11 citation statements)

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“…The best known demonstration of these "subjective", "achromatic" "Fechner colors" is the Benham Top (panel D), which generates temporal sequences of changing luminances and edges that correspond to particular colors [75][76][77]. Glow tubes have also been used to characterize the time patterns that elicit various colors [75].…”

Section: Intrinsic Temporal Patterns For Encoding Sensory Qualitymentioning

confidence: 99%

Temporal coding of sensory information in the brain

Cariani

2001

Acoust. Sci. & Tech.

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Physiological and psychophysical evidence for temporal coding of sensory qualities in different modalities is considered. A space of pulse codes is outlined that includes 1) channel-codes (across-neural activation patterns), 2) temporal pattern codes (spike patterns), and 3) spike latency codes (relative spike timings). Temporal codes are codes in which spike timings (rather than spike counts) are critical to informational function. Stimulus-dependent temporal patterning of neural responses can arise extrinsically or intrinsically: through stimulus-driven temporal correlations (phase-locking), response latencies, or characteristic timecourses of activation. Phase-locking is abundant in audition, mechanoception, electroception, proprioception, and vision. In phase-locked systems, temporal differences between sensory surfaces can subserve representations of location, motion, and spatial form that can be analyzed via temporal cross-correlation operations. To phase-locking limits, patterns of all-order interspike intervals that are produced reflect stimulus autocorrelation functions that can subserve representations of form. Stimulus-dependent intrinsic temporal response structure is found in all sensory systems. Characteristic temporal patterns that may encode stimulus qualities can be found in the chemical senses, the cutaneous senses, and some aspects of vision. In some modalities (audition, gustation, color vision, mechanoception, nocioception), particular temporal patterns of electrical stimulation elicit specific sensory qualities. Keywords GENERAL CLASSES OF NEURAL PULSE CODESThe neural coding problem in perception involves the identification of the neural correlates of sensory distinctions [1][2][3][4][5][6][7][8]. Sensory information can be encoded in patterns of neurons that respond (channel codes) or in temporal relations between spikes (temporal codes). Temporal codes can be further subdivided into time-of-arrival codes that rely on relative spike timings across neurons and temporal pattern codes that rely on internal patterns of spikes that are produced (Table 1). Here we review psychophysical and neurophysiological evidence that bears on temporal codes in perception.Temporal codes utilize stimulus-dependent time structure in neural responses. This time structure can be produced either through phase-locking or intrinsic response characteristics. The simplest time-of-arrival code compares spike arrival times between two neurons to convey the time difference between them, irrespective of the temporal structure internal to each spike train. In contrast, temporal pattern codes utilize this internal time structure to convey information. Temporal pattern codes utilize interspike intervals [1,8], interval sequences [9], and timecourses of discharge [10,11] to convey information. Both time-of-arrival and temporal pattern codes permit multiplexing of different kinds of information [10], though time-division [12], frequency-division [13,14] and codedivision [9] schemes. Some evidence for temporal codin...

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Section: Intrinsic Temporal Patterns For Encoding Sensory Qualitymentioning

confidence: 99%

Temporal coding of sensory information in the brain

Cariani

2001

Acoust. Sci. & Tech.

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“…The rod cells receiving the color of the center wavelength of 498 nm are modeled as the uniform helical antennas. The frequency responses of the modeled uniform helical antennas for the rods are explained, and the results are compared with the frequency responses of the original rod cells [1,23]. The radiation (or reception) diagrams of the modeled uniform helical antennas are calculated and simulated.…”

Section: Introductionmentioning

confidence: 99%

“…(b) Is the spectral sensitivity attributable to only visual pigments, but also the dimension and geometrical shape of the photoreceptors? Beside these, discussions about the theory of different spectral absorptions of three pigments and three cones have been given in the literature [1,4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Sheppard [1] suggests that the spectral selectivity of an individual cone might be substantially affected by its physical characteristics (size, index of refraction, etc.) as well as by any photopigment that it might contain.…”

Section: Introductionmentioning

confidence: 99%

“…Next, it traverses the vitreous humour which fills the eye cavity before being absorbed by the photoreceptor cells that are the rods and cones. The incoming light waves are converted to the electrical signals that stimulate neurons in the retina [1,2].…”

Section: Introductionmentioning

confidence: 99%

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Electromagnetic Modeling of Retinal Photoreceptors

Canbay¹,

Ãnal²

2008

PIER

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Abstract-New electromagnetic models for the rods and cones that are the photoreceptors at the back of the retina are developed and simulated in order to explain the roles of dimension, geometrical structure, directional sensitivity and visual pigments of the photoreceptors in the reception of visible light. The rods and cones are modeled as uniform and quasi-tapered helical antennas, respectively. The results of the model study show that if the model antennas have the original photoreceptor cell dimensions, the frequency responses of the model antennas and the spectral sensitivities of the photoreceptors would be very close to each other. In addition, it's observed that the spectral sensitivities of L, M and S cones are broadband over the visible light spectrum, and there are secondary peaks beside main peaks in the spectral sensitivity curves of the cones, because of the conical shape of the cones. It's also observed that there is only one main peak in the spectral sensitivity curves of the rods, because of the uniform and cylindrical shape of the rods. Finally, an array of the novel modeled antennas is also discussed to be used in biomedical applications of artificial retinal photoreceptors in medicine, although the main scope is not designing artificial retinal photoreceptor prosthesis.

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Visual customization: Diversity in color preferences in the automotive interior and implications for interior design

Wagner

Kilincsoy

Vink

2018

Color Research & Application

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Evolving multimodal mobility needs influences established human–product relationships and requires a deeper insight into color preferences for car interiors. Hence, a study was conducted in which 204 members of a web contest created 1,265 designs. After a peer‐evaluation process, 53 most‐appreciated and 34 least‐preferred interior color compositions were identified and compared to identify patterns in color choices. Besides, visual lightweight design by layering of large interior components such as the seat, a modest use of color and patterns accompanied by repetition and the framing of the entire interior to create a feeling of spaciousness were found. Additionally, differences in the type of color between most and least favored color designs were found. Brown and beige occur more frequently among the top‐ than the worst‐rated designs. Larger surfaces are favored in lighter hues and smaller components in darker hues.

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Human Color Perception: A Critical Study of the Experimental Foundation

Cited by 8 publications

References 0 publications

Temporal coding of sensory information in the brain

Temporal coding of sensory information in the brain

Electromagnetic Modeling of Retinal Photoreceptors

Visual customization: Diversity in color preferences in the automotive interior and implications for interior design

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