JOURNAL OF VISION视觉杂志
JOURNAL OF VISION(英文缩写 J VISION),ISSN 1534-7362,eISSN 1534-7362,中文译名:视觉杂志 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-10-01 至 2026-09-30，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 2.004 | Q3 |
| 2022 | 1.800 | Q3 |
| 2023 | 2.000 | Q2 |
| 2024 | 2.300 | Q2 |
| 2025 | 2.200 | Q2 |
JOURNAL OF VISION 最新收录文献
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1. Does one size fit all? Comment on Jurkiewicz et al., Attentional modulation of size perception in peripheral vision.
PMID:日期:2026-10-01该文献暂无摘要。
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3. Serial dependence does not build up to central tendency bias in orientation judgments.
PMID:日期:2026-10-01Perception is shaped by sequential biases operating on multiple timescales, including short-term serial dependence, medium-term central tendency bias (CTB), and long-term effects like the cardinal bias in orientation judgments. Although serial dependence has been widely observed in orientation judgments, CTB has not been reliably demonstrated despite its prevalence in other stimulus types. In this study, we investigated how these biases co-occur by comparing orientation judgments in two conditions: one with stimuli sampled from a full circular uniform distribution and another from a restricted section of orientations. Participants exhibited a cardinal bias away from cardinal orientations and an attractive serial dependence in both conditions. Contrary to expectations, no CTB was observed in the section condition independent of cardinal bias. Instead, participants showed a repulsive bias away from the center of the stimulus distribution, independent of cardinal biases. This repulsive bias persisted after controlling for serial dependence, suggesting that it may reflect a medium-term effect rather than a statistical artifact. The results challenge models that posit a shared mechanism for CTB and serial dependence and show that attractive serial dependence is not sufficient for a CTB to emerge. These findings highlight the need to account for stimulus space geometry and both attractive and repulsive sequential biases.
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4. Neural and perceptual manifolds regarded geometrically.
PMID:日期:2026-10-01Challenges face the neuroscientist when probing an organism's nervous system yields hundreds or thousands of simultaneous independently recorded signals. One way of dealing with this is to gather all n signals into a single point in an n-dimensional space, called the state of the nervous system. Structures created by the assembly of states formed by a coherent behavioral entity, such as the generalized sensing or perceiving of an object or the performing of a motor action, are called manifolds. Geometrical operations involving manifold properties have the potential of characterizing the neural organization underlying observed modules of behavior and predicting expected changes with learning or with the passage along streams of neural processing. Manifold analysis depends critically on the nature of the entered data and the match of the mathematical and computational tools applied to them.
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5. Color discrimination in action: High-throughput measurement in immersive VR.
PMID:日期:2026-10-01Precise measurement of color discrimination across color space is limited by the time and effort required to collect large psychophysical datasets. We investigated whether immersive virtual reality (VR) can support high-throughput measurement of color discrimination without compromising data quality. A standard four-alternative forced-choice odd-one-out task was embedded in an interactive VR environment inspired by the rhythm game Beat Saber, in which participants indicated the location of a chromatic target by slicing approaching cubes. Stimuli were presented on a color-calibrated VR headset, and chromaticities were specified in DKL space. Discrimination thresholds were measured for hue and chroma shifts around two reference colors. Participants sustained response rates of approximately one trial per second while maintaining stable performance. Thresholds replicated established asymmetries in color discrimination: hue thresholds were lower than chroma thresholds, and the hue-chroma ratio differed between color quadrants. A control experiment comparing VR-based slicing responses with matched keyboard responses revealed comparable psychometric fits and threshold estimates, indicating that motor engagement did not degrade measurement precision. Questionnaire measures further showed significantly higher intrinsic motivation, enjoyment, and stimulation in the immersive condition relative to a classic static psychophysical task, without increases in reported pressure or discomfort. These results demonstrate that calibrated immersive VR can yield reliable color discrimination measurements at substantially increased throughput, providing a scalable approach for mapping the metric structure of color space.
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6. Spatial extension of parafoveal processing predicts reading speed gain during reading acceleration.
6. 副中央凹加工的空间扩展预测阅读加速过程中的阅读速度提升PMID:日期:2026-09-01Fast and efficient reading involves not only processing the currently fixated word but also simultaneous processing of the upcoming text. Although the role of extrafoveal processing in natural reading has been extensively documented, its contribution to reading acceleration benefits has remained unexplored. In the present study, we sought to investigate whether reading acceleration might act by influencing the efficiency and spatial extent of parafoveal processing. Participants read at either a natural or an accelerated pace while the availability of parafoveal information was independently manipulated for the first (N+1) and second (N+2) words beyond fixation. Results showed a significant increase in reading speed during accelerated reading, accompanied by more strategic oculomotor behaviors. Importantly, fixation durations analyzed across valid and invalid (random-letters masking) preview conditions revealed an increased sensitivity to orthographic irregularities in parafoveal vision at greater eccentricities from fixation during accelerated reading. Moreover, participants who exhibited greater parafoveal preview effects demonstrated a more pronounced increase in reading speed. These results demonstrate that, during accelerated reading, readers flexibly adjust the spatial allocation of their limited processing resources, strategically widening the window from which extrafoveal information is extracted. Furthermore, they offer new insights into reading efficiency and promising avenues for targeted interventions in poor or impaired readers.
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7. Perceptual misalignment of texture representations in convolutional neural networks.
7. 卷积神经网络中纹理表征的感知失调PMID:日期:2026-09-01Mathematical modeling of visual textures traces back to Julesz's intuition that texture perception in humans is based on local correlations between image features. An influential approach for texture analysis and generation generalizes this notion to linear correlations between the nonlinear features computed by convolutional neural networks (CNNs), compiled into Gram matrices. Given that CNNs are often used as models for the visual system, it is natural to ask whether such "texture representations" spontaneously align with the textures' perceptual content, and, in particular, whether those CNNs that are regarded as better models for the visual system also possess more human-like texture representations. Here we quantify the perceptual content captured by feature correlations computed for a diverse pool of CNNs, and we compare it to the models' perceptual alignment with the mammalian visual system as measured by Brain-Score. Surprisingly, we find that there is no connection between conventional measures of CNN quality as a model of the visual system and its alignment with human texture perception. We conclude that texture perception involves mechanisms that are distinct from those that are commonly modeled using approaches based on CNNs trained on object recognition, possibly depending on the integration of contextual information.
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8. Model-based estimation of the population contrast response function in human visual cortex.
PMID:日期:2026-09-01Contrast determines how strong visual stimuli drive neural responses and, in turn, how well we can see. This contrast-response relationship is nonlinear, with gain control mechanisms acting to compress responses to high-contrast stimuli, effectively setting the contrast range that neural responses are most sensitive to. Yet, capturing these saturating responses noninvasively in human functional magnetic resonance imaging (fMRI) has proven challenging. Here, we introduce a model-based fMRI approach to more flexibly and efficiently estimate saturating contrast responses: population contrast response function (CRF) mapping. To vet this technique, we benchmarked pCRF mapping against traditional deconvolved BOLD responses for stimuli presented with a fast event-related design. We found tight correspondence in parameter estimates between the deconvolution-derived CRF and pCRF estimates, validating the model-based approach. We then asked whether pCRF mapping could push beyond conventional paradigms by employing a continuous, highly condition-rich stimulation design that affords greater efficiency and flexibility but does not lend itself to traditional fMRI analyses. As predicted by the model-based approach, voxel-wise pCRF estimates could still be recovered from this unconventional design. In sum, we demonstrated that model-based pCRF mapping dissociates CRF estimation from strict design constraints and broadens the space of usable experimental paradigms while still capturing the saturating nonlinearities that are fundamental to neural population responses.
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9. Rod + cone signal interference impairs mesopic motion discriminability in a model circuit.
PMID:日期:2026-09-01Under mesopic conditions, such as dawn or dusk, signals from both rod and cone photoreceptors contribute to perception. These parallel inputs are combined within the retina before being sent to subsequent visual areas. The integration of these kinetically distinct parallel signals poses unique challenges for human vision. Though previous behavioral studies have found that dim lighting conditions specifically impair motion perception in human subjects, the origin of this dependence is unclear. In the present study, we created a model circuit that predicts ganglion cell responses to moving stimuli by incorporating electrophysiologically derived circuit components into a Hassenstein-Reichardt correlator, a classical motion-detection model. The model circuit demonstrates that interactions between rod- and cone-derived signals negatively impact the encoding of the direction of a moving object under mesopic conditions. Furthermore, we found that motion discriminability improved if the model circuit was only sensitive to the cone-activating components of the stimuli. We conclude that rod+cone signal interference occurring at the lowest level of vision has an impact on motion direction discrimination, a higher-level task with relevance for behavior.
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10. Learning to detect patterns in 2 × 2 graphs.
PMID:日期:2026-09-01Effective data visualization and statistics education both depend on helping viewers detect meaningful patterns in graphs. Here we investigated pattern detection in 2 × 2 graphs, a widely used form of data visualization. The 2 × 2 graphs display a continuous dependent variable across two predictors, each with two levels. Factor A appears on the x-axis. Factor B appears as distinct visual series, such as black versus white lines or bars. Prior research on 2 × 2 graphs examined viewers' verbal descriptions of Factor A, Factor B, and A × B interaction patterns. Those studies revealed what people can describe but not what they can perceive. The present experiment addressed that gap by testing how viewers learn to perceptually organize Factor A, Factor B, and interaction patterns in 2 × 2 graphs. In a preregistered trial-and-error task, 416 adults learned to classify 2 × 2 line or bar graphs according to Factor A, Factor B, or A × B interaction patterns. The line and bar graphs contained identical numeric information. Two primary findings emerged. First, line graphs produced higher accuracy than bar graphs for interaction and Factor B patterns. No such advantage appeared for Factor A patterns, where accuracy remained low across graph types. Second, participants who trained on bar graphs often adopted a flawed rule. They reported Factor A and Factor B patterns only when an interaction appeared. This classification error did not occur for line graphs. Both primary findings matched preregistered predictions. These results show that data visualization choices, including graph type and predictor placement, influence the perceptual availability of patterns in 2 × 2 graphs. Clarifying those perceptual limits advances both data visualization design and statistics education.