The subjective metric of remembered colors: A Fisher-information analysis of the geometry of human chromatic memory

Fonseca, María da; Vattuone, Nicolás; Clavero, Federico José; Echeveste, Rodrigo; Samengo, Inés

doi:10.1371/journal.pone.0207992

Cited by 4 publications

(4 citation statements)

References 52 publications

(83 reference statements)

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“…Importantly, in this paper we concluded that the transformation yielding the perceptual coordinates was significantly different for different observers, implying that no unique coordinate system exists that is perceptually uniform for all trichromats. This finding is in line with the subject-to-subject variability obtained in theoretical [17] and experimental [66,64] studies of discrimination tasks, the population variability in color matching experiments [57,66,1,24,25,4,3,19], and experimental studies on chromatic memory [20]. It is also consistent with the recurrently failed attempts to define a unique coordinate system perceived as perceptually uniform by all observers.…”

Section: Discussionsupporting

confidence: 86%

Perceptual spaces and their symmetries: The geometry of color space

Samengo¹,

Wachtler²,

Vattuone³

2021

Mathematical Neuroscience and Applications

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Our sensory systems transform external signals into neural activity, thereby producing percepts. We are endowed with an intuitive notion of similarity between percepts, that need not reflect the proximity of the physical properties of the corresponding external stimuli. The quantitative characterization of the geometry of percepts is therefore an endeavour that must be accomplished behaviorally. Here we characterized the geometry of color space using discrimination and matching experiments. We proposed an individually tailored metric defined in terms of the minimal chromatic difference required for each observer to differentiate a stimulus from its surround. Next, we showed that this perceptual metric was particularly adequate to describe two additional experiments, since it revealed the natural symmetry of perceptual computations. In one of the experiments, observers were required to discriminate two stimuli surrounded by a chromaticity that differed from that of the tested stimuli. In the perceptual coordinates, the change in discrimination thresholds induced by the surround followed a simple law that only depended on the perceptual distance between the surround and each of the two compared stimuli. In the other experiment, subjects were asked to match the color of two stimuli surrounded by two different chromaticities. Again, in the perceptual coordinates the induction effect produced by surrounds followed a simple, symmetric law. We conclude that the individually-tailored notion of perceptual distance reveals the symmetry of the laws governing perceptual computations. Comment: 42 pages, 9 figures, 1 appendix. (v2) 47 pages, 10 figures, 1 appendix. (v3) Text modified after peer-review process. (v4) 34 pages, 1 appendix, 10 figures. Article accepted to be published at Mathematical Neuroscience and Applications

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Section: Discussionsupporting

confidence: 86%

Perceptual spaces and their symmetries: The geometry of color space

Samengo¹,

Wachtler²,

Vattuone³

2021

Mathematical Neuroscience and Applications

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“…In the previous section we visualized the categorical metric as a distortion of sRGB. A different approach is to attempt to embed the manifold into Euclidean space, so that Euclidean distances match categorical distances [74–76]. Since the categorical metric may give the colour manifold non-Euclidean intrinsic curvature this is only guaranteed possible if we embed in a space of high enough dimension [77].…”

Section: Categorical Geometrymentioning

confidence: 99%

Categorical colour geometry

Griffin¹,

Mylonas²

2019

PLoS ONE

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Ordinary language users group colours into categories that they refer to by a name e.g. pale green . Data on the colour categories of English speakers was collected using online crowd sourcing – 1,000 subjects produced 20,000 unconstrained names for 600 colour stimuli. From this data, using the framework of Information Geometry, a Riemannian metric was computed throughout the RGB cube. This is the first colour metric to have been computed from colour categorization data. In this categorical metric the distance between two close colours is determined by the difference in the distribution of names that the subject population applied to them. This contrasts with previous colour metrics which have been driven by stimulus discriminability, or acceptability of a colour match. The categorical metric is analysed and shown to be clearly different from discriminability-based metrics. Natural units of categorical length, area and volume are derived. These allow a count to be made of the number of categorically-distinct regions of categorically-similar colours that fit within colour space. Our analysis estimates that 27 such regions fit within the RGB cube, which agrees well with a previous estimate of 30 colours that can be identified by name by untrained subjects.

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“…However, the random connectivity will lead to random location of attractors, which is inconsistent with the experimental observations. One recent research on the color memorizing and retrieval showed that individual subjects partitioned the continuum hues into discrete categories and exhibited focal colors in their own mnemonic strategy ( da Fonseca et al, 2019 ), which says that the connectivity should not be random.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A spiking network model for clustering report in a visual working memory task

Lei

Zhang

et al. 2023

Front. Comput. Neurosci.

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IntroductionWorking memory (WM) plays a key role in many cognitive processes, and great interest has been attracted by WM for many decades. Recently, it has been observed that the reports of the memorized color sampled from a uniform distribution are clustered, and the report error for the stimulus follows a Gaussian distribution.MethodsBased on the well-established ring model for visuospatial WM, we constructed a spiking network model with heterogeneous connectivity and embedded short-term plasticity (STP) to investigate the neurodynamic mechanisms behind this interesting phenomenon.ResultsAs a result, our model reproduced the clustering report given stimuli sampled from a uniform distribution and the error of the report following a Gaussian distribution. Perturbation studies showed that the heterogeneity of connectivity and STP are necessary to explain experimental observations.ConclusionOur model provides a new perspective on the phenomenon of visual WM in experiments.

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The subjective metric of remembered colors: A Fisher-information analysis of the geometry of human chromatic memory

Cited by 4 publications

References 52 publications

Perceptual spaces and their symmetries: The geometry of color space

Perceptual spaces and their symmetries: The geometry of color space

Categorical colour geometry

A spiking network model for clustering report in a visual working memory task

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