Efficiency of the Human Visual System in Recognition of Moving Objects

The relationships studied between the efficiency of the human visual system for recognition of moving objects in the presence of dynamic additive quasi-white Gaussian noise and the duration of object presentation are studied. Different conditions of observation and the parameters of moving objects were analyzed. The efficiency-presentation duration relationship was shown to be a function with two extrema (a minimum and a maximum, at 120 and 400 ms, respectively). The study offers an interpretation of the findings and a functional model to explain this phenomenon.     

Fovea-Periphery Axis Symmetry of Surround Modulation in the Human Visual System

A visual stimulus activates different sized cortical area depending on eccentricity of the stimulus. Here, our aim is to understand whether the visual field size of a stimulus or cortical size of the corresponding representation determines how strongly it interacts with other stimuli. We measured surround modulation of blood-oxygenation-level-dependent signal and perceived contrast with surrounds that extended either towards the periphery or the fovea from a center stimulus, centered at 6° eccentricity. This design compares the effects of two surrounds which are identical in visual field size, but differ in the sizes of their cortical representations. The surrounds produced equally strong suppression, which suggests that visual field size of the surround determines suppression strength. A modeled population of neuronal responses, in which all the parameters were experimentally fixed, captured the pattern of results both in psychophysics and functional magnetic resonance imaging. Although the fovea-periphery anisotropy affects nearly all aspects of spatial vision, our results suggest that in surround modulation the visual system compensates for it.     

Dynamic Ligand Discrimination in the Notch Signaling Pathway

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Characteristics of Human Luminance Discrimination and Modeling a Neural Network Based on the Response Properties of the Visual Cortex

Reaction time (RT) and error rate that depend on stimulus duration were measured in a luminance-discrimination reaction time task. Two patches of light with different luminance were presented to participants for ‘short’ (150 ms) or ‘long’ (1 s) period on each trial. When the stimulus duration was ‘short’, the participants responded more rapidly with poorer discrimination performance than they did in the longer duration. The results suggested that different sensory responses in the visual cortices were responsible for the dependence of response speed and accuracy on the stimulus duration during the luminance-discrimination reaction time task. It was shown that the simple winner-take-all-type neural network model receiving transient and sustained stimulus information from the primary visual cortex successfully reproduced RT distributions for correct responses and error rates. Moreover, temporal spike sequences obtained from the model network closely resembled to the neural activity in the monkey prefrontal or parietal area during other visual decision tasks such as motion discrimination and oddball detection tasks.     

The Effect of Self-Efficacy on Visual Discrimination Sensitivity

Can subjective belief about one''s own perceptual competence change one''s perception? To address this question, we investigated the influence of self-efficacy on sensory discrimination in two low-level visual tasks: contrast and orientation discrimination. We utilised a pre-post manipulation approach whereby two experimental groups (high and low self-efficacy) and a control group made objective perceptual judgments on the contrast or the orientation of the visual stimuli. High and low self-efficacy were induced by the provision of fake social-comparative performance feedback and fictional research findings. Subsequently, the post-manipulation phase was performed to assess changes in visual discrimination thresholds as a function of the self-efficacy manipulations. The results showed that the high self-efficacy group demonstrated greater improvement in visual discrimination sensitivity compared to both the low self-efficacy and control groups. These findings suggest that subjective beliefs about one''s own perceptual competence can affect low-level visual processing.     

Refractive Errors Affect the Vividness of Visual Mental Images

The hypothesis that visual perception and mental imagery are equivalent has never been explored in individuals with vision defects not preventing the visual perception of the world, such as refractive errors. Refractive error (i.e., myopia, hyperopia or astigmatism) is a condition where the refracting system of the eye fails to focus objects sharply on the retina. As a consequence refractive errors cause blurred vision.We subdivided 84 individuals according to their spherical equivalent refraction into Emmetropes (control individuals without refractive errors) and Ametropes (individuals with refractive errors). Participants performed a vividness task and completed a questionnaire that explored their cognitive style of thinking before their vision was checked by an ophthalmologist. Although results showed that Ametropes had less vivid mental images than Emmetropes this did not affect the development of their cognitive style of thinking; in fact, Ametropes were able to use both verbal and visual strategies to acquire and retrieve information. Present data are consistent with the hypothesis of equivalence between imagery and perception.     

The Expression Patterns of MHC Class I Molecules in the Developmental Human Visual System

It has been considered that healthy neurons in central nervous system (CNS) do not express major histocompatibility complex (MHC) class I molecules. However, recent studies clearly demonstrated the expression of functional MHC class I in the mammalian embryonic, neonatal and adult brain. Until now, it is still unknown whether MHC I molecules are expressed in the development of human brain. We collected nine human brain tissues from fetuses aged from 21 to 31 gestational weeks (GW), one newborn of postnatal 55 days and one adult. The expression of MHC class I molecules was detected during the development of visual system in human brain by immunohistochemistry and immunofluorescence. MHC class I proteins were located at lateral geniculate nucleus (LGN) and the expression was gradually increased from 21 GW to 31 GW and reached high levels at 30–31 GW when fine-scale refinement phase was mediated by neural electric activity. However, there was no expression of MHC class I molecules in the visual cortical cortex during all the developmental stages examined. We also concluded that MHC class I molecules were mainly expressed in neurons but not in astrocytes at LGN. In the developing visual system, the expression of β2M protein on neurons was not found in our study.     

Speed and Accuracy of Visual Motion Discrimination by Rats

Animals must continuously evaluate sensory information to select the preferable among possible actions in a given context, including the option to wait for more information before committing to another course of action. In experimental sensory decision tasks that replicate these features, reaction time distributions can be informative about the implicit rules by which animals determine when to commit and what to do. We measured reaction times of Long-Evans rats discriminating the direction of motion in a coherent random dot motion stimulus, using a self-paced two-alternative forced-choice (2-AFC) reaction time task. Our main findings are: (1) When motion strength was constant across trials, the error trials had shorter reaction times than correct trials; in other words, accuracy increased with response latency. (2) When motion strength was varied in randomly interleaved trials, accuracy increased with motion strength, whereas reaction time decreased. (3) Accuracy increased with reaction time for each motion strength considered separately, and in the interleaved motion strength experiment overall. (4) When stimulus duration was limited, accuracy improved with stimulus duration, whereas reaction time decreased. (5) Accuracy decreased with response latency after stimulus offset. This was the case for each stimulus duration considered separately, and in the interleaved duration experiment overall. We conclude that rats integrate visual evidence over time, but in this task the time of their response is governed more by elapsed time than by a criterion for sufficient evidence.     

Working Images: Visual Research and Representation in Ethnography

Working Images: Visual Research and Representation in Ethnography . Sarah Pink, László Kürti, and Ana Isabel Afonso. New York: Routledge, 2004. 224 pp.     

Improved Discrimination of Visual Stimuli Following Repetitive Transcranial Magnetic Stimulation

Background

Repetitive transcranial magnetic stimulation (rTMS) at certain frequencies increases thresholds for motor-evoked potentials and phosphenes following stimulation of cortex. Consequently rTMS is often assumed to introduce a “virtual lesion” in stimulated brain regions, with correspondingly diminished behavioral performance.

Methodology/Principal Findings

Here we investigated the effects of rTMS to visual cortex on subjects'' ability to perform visual psychophysical tasks. Contrary to expectations of a visual deficit, we find that rTMS often improves the discrimination of visual features. For coarse orientation tasks, discrimination of a static stimulus improved consistently following theta-burst stimulation of the occipital lobe. Using a reaction-time task, we found that these improvements occurred throughout the visual field and lasted beyond one hour post-rTMS. Low-frequency (1 Hz) stimulation yielded similar improvements. In contrast, we did not find consistent effects of rTMS on performance in a fine orientation discrimination task.

Conclusions/Significance

Overall our results suggest that rTMS generally improves or has no effect on visual acuity, with the nature of the effect depending on the type of stimulation and the task. We interpret our results in the context of an ideal-observer model of visual perception.     

Parametric Modeling of Visual Search Efficiency in Real Scenes

How should the efficiency of searching for real objects in real scenes be measured? Traditionally, when searching for artificial targets, e.g., letters or rectangles, among distractors, efficiency is measured by a reaction time (RT) × Set Size function. However, it is not clear whether the set size of real scenes is as effective a parameter for measuring search efficiency as the set size of artificial scenes. The present study investigated search efficiency in real scenes based on a combination of low-level features, e.g., visible size and target-flanker separation factors, and high-level features, e.g., category effect and target template. Visible size refers to the pixel number of visible parts of an object in a scene, whereas separation is defined as the sum of the flank distances from a target to the nearest distractors. During the experiment, observers searched for targets in various urban scenes, using pictures as the target templates. The results indicated that the effect of the set size in real scenes decreased according to the variances of other factors, e.g., visible size and separation. Increasing visible size and separation factors increased search efficiency. Based on these results, an RT × Visible Size × Separation function was proposed. These results suggest that the proposed function is a practicable predictor of search efficiency in real scenes.     

The Role of Speech in the Accuracy of Perception and Reproduction of Visual Images

Two questions remain virtually unexplored in the problem of the significance of speech for perception: the significance of speech for perception and reproduction of individual aspects of a complex entity (the number of elements of which it is comprised, their color and disposition), and the features of the connection between words and these elements. The latter question requires some explanation. There are objects whose names we employ very frequently in conversation (table, chair, etc.). There is a particularly close relationship between the visual image of such objects and the words. But at the same time, there are quite a number of objects (certain types of uncommon colors, birds, details of instruments, etc.) the names of which many people do not know. Further, certain details have no special names at all (for example, particular details of ornaments). A. G. Ivanov-Smolenskii, in his article "The Interaction of the First and Second Signal Systems Under Certain Physiological and Pathological Conditions" [O vzaimodeistvii pervoi i vtoroi signal'nykh sistem pri nekotorykh fiziologicheskikh i patologicheskikh usloviiakh], The Physiological Journal, USSR Academy of Sciences [Fiziologicheskii zhurnal AN SSSR], 1949, No. 5, wrote: "Some individually distinct part of experience is always found — for a while — to be untransmitted to the second signal system, and not yet subject to verbal interpretation and verbal formulation ('unverbalized')."     

Non-Local Means Denoising of Dynamic PET Images

Objective

Dynamic positron emission tomography (PET), which reveals information about both the spatial distribution and temporal kinetics of a radiotracer, enables quantitative interpretation of PET data. Model-based interpretation of dynamic PET images by means of parametric fitting, however, is often a challenging task due to high levels of noise, thus necessitating a denoising step. The objective of this paper is to develop and characterize a denoising framework for dynamic PET based on non-local means (NLM).

Theory

NLM denoising computes weighted averages of voxel intensities assigning larger weights to voxels that are similar to a given voxel in terms of their local neighborhoods or patches. We introduce three key modifications to tailor the original NLM framework to dynamic PET. Firstly, we derive similarities from less noisy later time points in a typical PET acquisition to denoise the entire time series. Secondly, we use spatiotemporal patches for robust similarity computation. Finally, we use a spatially varying smoothing parameter based on a local variance approximation over each spatiotemporal patch.

Methods

To assess the performance of our denoising technique, we performed a realistic simulation on a dynamic digital phantom based on the Digimouse atlas. For experimental validation, we denoised PET images from a mouse study and a hepatocellular carcinoma patient study. We compared the performance of NLM denoising with four other denoising approaches – Gaussian filtering, PCA, HYPR, and conventional NLM based on spatial patches.

Results

The simulation study revealed significant improvement in bias-variance performance achieved using our NLM technique relative to all the other methods. The experimental data analysis revealed that our technique leads to clear improvement in contrast-to-noise ratio in Patlak parametric images generated from denoised preclinical and clinical dynamic images, indicating its ability to preserve image contrast and high intensity details while lowering the background noise variance.     

Discrimination of Variation in a Male Signaling Trait Affects Detection Time in Visual Predators

In many species, expression of elaborate male characteristics likely represents a balance between sexual selection and natural selection via predation, as male traits selected to elicit rapid detection or response on the part of females also increase detection by predators. Predation costs are frequently inferred, but the underlying mechanisms associated with specific traits have rarely been directly explored. Males of the wolf spider Schizocosa ocreata (Araneae: Lycosidae) exhibit a sexually selected signaling trait (dark tufts of bristles) on their forelegs, and are sympatric with a number of visually hunting generalist predators, including cannibalistic conspecifics, that may impact spider survival. Here we use latency of orientation response of the American toad, Bufo americanus (Anura: Bufonidae), to video, 'virtual' courting S. ocreata male stimuli as an index of predator detection, and latency of orientation response of female S. ocreata to the same stimuli as an index of conspecific detection. When compared with stimuli representing the population average, elimination of the signal trait had no significant effect on predator detection but did increase latency to orient in conspecifics. Increasing the size of the signal trait had no effect on conspecific detection but did significantly reduce latency to orient for predatory toads. Results clearly indicate that for a courting male spider of a given size and vigor level, variation in the expression of a secondary sexual characteristic alone can incur differential direct costs and benefits by influencing latency of orientation to visual signals by predators and conspecifics.