Sight Research Articles

Visual placebo and nocebo effects.

Placebo and nocebo effects modulate symptom perception through expectations and learning processes in various domains. Predominantly, their impact has been investigated on pain and physical performance. However, the influence of placebos and nocebos on visual system functionality has yet to be explored. The present study aimed to test whether placebo and nocebo effects can intervene in altering participants' performance outcomes during a novel visual accuracy task and to examine the underlying neural mechanisms through EEG. After performing a baseline session, visual accuracy was said to be enhanced or disrupted by a sham transcranial electrical stimulation over the occipital lobe. Behavioural results showed a significant increase in visual accuracy for the placebo group, from the baseline session to the test session, whereas the nocebo group showed a decrease in visual accuracy. EEG analyses on the event-related potential P300 component, conducted on both a centro-parietal electrode patch and a parieto-occipital, one displayed an increase in the amplitude of P300 for the placebo group, and a decrease in the nocebo group. These findings suggest for the first time that placebo and nocebo effects can influence visual perception and attentional processes linked to it. Overall, the present study contributes to understanding how expectations affect sensory perception beyond pain and the motor system, paving the way for investigating these phenomena in other sensory modalities such as auditory or olfactory perception. KEY POINTS: Placebo and nocebo effects have been studied predominantly in pain and motor performance fields. In a novel visual task, the impact of placebo and nocebo effects on the visual system has been evaluated, in both early components (stimuli-related) and late components (attention-related). The placebo group showed an increase in visual accuracy and EEG-evoked potential amplitudes, whereas the nocebo group showed a decrease in both. This study shows how expectations and the related placebo and nocebo effects can shape basic stimuli sensory perception in the visual domain.

The return of the uncanny: artificial intelligence and estranged futures

Although often considered to be a fault or a glitch in the system, the event of hallucination is integral to models of image-processing regularly employed by artificial intelligence (AI). Evoking an inhuman logic, the works in Trevor Paglen’s Adversarially Evolved Hallucinations series (2017–ongoing) render this hallucinatory space visible and open it up to investigation from within these systems. Produced by a generative adversarial network (GAN), the project reveals an uncanny domain of image production that raises significant misgivings about the routine use of generative AI (GenAI) in tasks associated with facial recognition and video surveillance. Through exploring the issues raised by Paglen in this work, the following essay enquires into questions related to machinic vision and AI more broadly. Through training neural networks – such as those employed in a GAN – to see the world for us, are we, to begin with, priming and instructing ourselves to see more like machines? What, furthermore, will happen when these inhuman, hallucinatory models of ‘seeing’ and processing the world supersede – in part or wholly – the sphere of human vision, not least in the adjacent fields of surveillance and contemporary models of automated warfare? Will these post-ocular models of seeing – which already determine, if not over-determine, our relationship to the world – become in turn entirely unaccountable, if not completely unfathomable, guidelines for defining normative and, more worryingly, non-normative behaviour patterns and everyday events. If, finally, AI models of image-processing replace ocular-centric ways of seeing, will these models have the capacity to further estrange, if not profoundly alienate, us from the world and our responsibility for the future impact and prejudicial potential of such images?

Neuroscientific insights about computer vision models: a concise review.

The development of biologically-inspired computational models has been the focus of study ever since the artificial neuron was introduced by McCulloch and Pitts in 1943. However, a scrutiny of literature reveals that most attempts to replicate the highly efficient and complex biological visual system have been futile or have met with limited success. The recent state-of the-art computer vision models, such as pre-trained deep neural networks and vision transformers, may not be biologically inspired per se. Nevertheless, certain aspects of biological vision are still found embedded, knowingly or unknowingly, in the architecture and functioning of these models. This paper explores several principles related to visual neuroscience and the biological visual pathway that resonate, in some manner, in the architectural design and functioning of contemporary computer vision models. The findings of this survey can provide useful insights for building futuristic bio-inspired computer vision models. The survey is conducted from a historical perspective, tracing the biological connections of computer vision models starting with the basic artificial neuron to modern technologies such as deep convolutional neural network (CNN) and spiking neural networks (SNN). One spotlight of the survey is a discussion on biologically plausible neural networks and bio-inspired unsupervised learning mechanisms adapted for computer vision tasks in recent times.

Chiral Perovskite Nanowire Optoelectronic Synapse for Full‐Stokes Polarization‐Resolved Perception and Reservoir Computing

AbstractFull‐Stokes polarization‐resolved photonic artificial synapse (PAS) devices with in‐sensor computing capabilities show great potential for multimode vision perception and processing. However, current polarization‐resolved PAS devices are limited to monotonic recognition of linearly polarized light or circularly polarized light. Here, the study develops a chiral perovskite nanowire‐based PAS device as a full‐Stokes polarimeter to achieve polarization‐dependent neuromorphic optoelectronics. The device demonstrates a significantly high circular dichroism of over 400 millidegree and intrinsic linear dichroism, contributing to effectively sensing polarized light. Efficient charge separation at the perovskite NW/MXene heterostructure results in a prolonged carrier lifetime, thereby achieving a high responsivity of 2.3 AW−1, excellent synaptic behavior, and low power consumption of 0.5 pJ per synaptic stimuli. Significantly, the polarization‐modulated reservoir computing is developed based on the full‐Stokes PAS device, which exhibits a low normalized root mean square error of 0.023 in the chaotic system forecasting task. The single‐nanowire PAS device with the capability of sensing full‐Stokes parameters demonstrates great significance in building advanced energy‐efficient polarization‐resolved nanoscale neuromorphic vision systems.

Development of Post-Industrial Heritage Landscape Design Based on Visual Cognitive Schema Theory: A Case Study of the Shou Gang Industrial Cultural Heritage Site

Post-industrial landscapes serve as crucial markers of industrial cultural heritage. This study focuses on the urban environmental form design of post-industrial civilization. Facing challenges posed by the incompatibility of traditional industrial lands with modern society, the urban renaissance of post-industrial landscapes emerges as a pivotal topic. This article defines the concepts of visual cognition, the cognitive schema, and the post-industrial landscape from the perspective of environmental psychology through literature research, case studies, and on-site investigation methods. It elaborates on the design process of the Shou Gang Industrial Cultural Heritage Site. This study shows how to create a living space that has both historical memory and meets modern needs through steps such as extracting core elements, constructing spatial schema, and promoting scene integration. The study found that, by extracting and integrating the four key visual cognitive elements of humans, objects, paths, and event, a dynamic and interactive living space schema—scene relationship—can be constructed. Finally, by summarizing the overall consciousness of the visual cognitive schema, it further emphasizes the importance of paying attention to the harmony and unity of people, behavior, and environment in the design process and realizing the sustainable utilization and development of space.

Color detection of printing based on improved superpixel segmentation algorithm

We propose an improved superpixel segmentation algorithm based on visual saliency and color entropy for online color detection in printed products. This method addresses the issues of low accuracy and slow speed in detecting color deviations in print quality control. The improved superpixel segmentation algorithm consists of three main steps: Firstly, simulating human visual perception to obtain visually salient regions of the image, thereby achieving region-based superpixel segmentation. Secondly, adaptively determining the superpixel size within the salient regions using color information entropy. Finally, the superpixel segmentation method is optimized using hue angle distance based on chromaticity, ultimately achieving a region-based adaptive superpixel segmentation algorithm. Color detection of printed products compares the color mean values of post-printing images under the same superpixel labels, outputting labels with color deviations to identify areas of color differences. The experimental results show that the improved superpixel algorithm introduces color phase distance with better segmentation accuracy, and combines it with human visual perception to better reproduce the color information of printed materials. Using the method described in this article for printing color quality inspection can reduce data computation, quickly detect and mark color difference areas, and provide the degree of color deviation.

Does being physically active and engaged affect reading ability? A review of the literature

Reading ability is one of the basic skills to open the horizons of knowledge and bring authentic input for a performance of the mind. Learning programs in higher education are aimed at equipping students to have comprehensive critical thinking-based reading skills. Learning to read is an abstract process of cognition which is the performance of the sense of sight, a cognitive process consisting of critical thinking and self-awareness elaboration. It is suspected that students who are active will have better speed in reading comprehension. This research aims to examine based on research evidence by reviewing the literature. Materials were searched using the keywords "physical activity to reading skill". Searches were conducted in Scopus and PubMed accounts. Based on the analysis step using PRISMA, 13 relevant articles were finally obtained in accordance with the purpose of writing. Based on this study and review, it can be concluded that physical activity can be in the form of walking, cycling, play programs, gross motor interventions, providing motor stimulation to the whole body, has a positive effect on reading ability. The positive results of physical activity are the acquisition of fine and gross motor skills, the achievement of a good level of fitness that bridges the enthusiasm and endurance of learning so that it affects reading skills. The second conclusion from this study, besides specifically affecting reading skills, is also evidenced by 7 articles mentioning activity, activeness and the results of these two things affecting academic achievement. Keywords: Physical Activity, Active, reading ability

The visual experience dataset: Over 200 recorded hours of integrated eye movement, odometry, and egocentric video.

We introduce the Visual Experience Dataset (VEDB), a compilation of more than 240hours of egocentric video combined with gaze- and head-tracking data that offer an unprecedented view of the visual world as experienced by human observers. The dataset consists of 717 sessions, recorded by 56 observers ranging from 7 to 46 years of age. This article outlines the data collection, processing, and labeling protocols undertaken to ensure a representative sample and discusses the potential sources of error or bias within the dataset. The VEDB's potential applications are vast, including improving gaze-tracking methodologies, assessing spatiotemporal image statistics, and refining deep neural networks for scene and activity recognition. The VEDB is accessible through established open science platforms and is intended to be a living dataset with plans for expansion and community contributions. It is released with an emphasis on ethical considerations, such as participant privacy and the mitigation of potential biases. By providing a dataset grounded in real-world experiences and accompanied by extensive metadata and supporting code, the authors invite the research community to use and contribute to the VEDB, facilitating a richer understanding of visual perception and behavior in naturalistic settings.

PERSEPSI TAMPILAN PEWARNAAN HIDANGAN AKIBAT TEMPERATUR WARNA CAHAYA DAN DAMPAKNYA PADA SELERA BERSANTAP DI CAFE

Correlated Color Temperature/CCT from artificial lighting in casual dining area at cafés is used to guide visitors visual perception through the interior atmosphere and dish display when served. Its visual impact triggers a non-visual response in the form of the visitors perception to rise appetite. This research aims to see the strength of causal relationship between perception of the dish display and the appetite for dining. A descriptive approach is used through questionnaire to examine the magnitude of this relationship using simple linear regression. The results show that the clarity of the dish display impact strongly on visitors perception on dish display (R Square 87.81%). Then, perception on dish display gives strong impact on appetite (R Square 87%). This research concludes that neutral CCT preferences give higher impact on dining appetite since the perception on the dish display has previously evaluated positive

Research on the tourist destination image of the Huaiyang Canal based on network data

The Huaiyang Canal, a significant section of the Grand Canal, boasts representative tourist attractions. This study analysis of online reviews from Ctrip and Mahive using R language, Gephi, ROST CM, and SPSS has provided insights into tourists’ perceptions of the Huaiyang Canal’s image. Key findings include: (1) Dominant landscape images encompass gardens, canals, and buildings, emphasizing the historical and cultural assets. Both cultural and natural landscapes equally captivate tourists. (2) The canal’s tourism image perception follows a “garden-history-canal” hierarchy with the canal as the central space and history expanding its tourism features. (3) The perceptions can be categorized into historical and cultural landscapes, man-made projects, and attraction perception. Despite varying tourist numbers in Huaian and Yangzhou, scenic spot experiences are similar. The overall perception of tourists is largely positive, but some express concerns about service attitudes and travel time planning.

All-In-One Optoelectronic Transistors for Bio-Inspired Visual System.

Visual perception has profound effects on human decision-making and emotional responses. Replicating the functions of the human visual system through device development has been a constant pursuit in recent years. However, to fully simulate the various functions of the human visual system, it is often necessary to integrate multiple devices with different functions, resulting in complex, large-volume device structures and increased power consumption. Here, an optoelectronic transistor with comprehensive visual functions is introduced. By coupling diverse photoreceptive properties of the channel and electrical regulation through charge injection/ferroelectric switching from the hafnium-based gate, the devices can simulate functions of both photoreceptors in the retina and synapses in the visual cortex. A device array is constructed to confirm the perceptual functions of cone and rod cells. Subsequently, color discrimination and recognition for color images are achieved by combining the tunable perception and synapse functions. Then an intelligent traffic judgment system with this all-in-one device is developed, which is capable of making judgments and decisions regarding traffic signals and pedestrian movements. This work provides a potential solution for developing compact and efficient devices for the next-generation bio-inspired visual system.

Deletion of Transmembrane protein 184b leads to retina degeneration in mice.

Transmembrane protein 184b (Tmem184b) has been implicated in axon degeneration and neuromuscular junction dysfunction. Notably, Tmem184b exhibits high expression levels in the retina; however, its specific function within this tissue remains poorly understood. To elucidate the role of Tmem184b in the mammalian visual system, we developed a Tmem184b knockout (KO) model for further investigation. Loss of Tmem184b led to significant decreases in both a and b wave amplitudes of scotopic electroretinogram (ERG) and reduced b wave amplitudes of photopic ERG, respectively, reflecting damage to both the photoreceptors and secondary neuronal cells of the retina. Histologic analyses showed a progressive retinal thinning accompanied by the significantly loss of retinal cells including cone, rod, bipolar, horizontal and retinal ganglion cells. The expression levels of photo-transduction-related proteins were down-regulated in KO retina. TUNEL (terminal deoxynucleotidyl transferase-mediated biotinylated Uridine-5'-triphosphate [UTP]nick end labelling) and glial fibrillary acidic protein (GFAP)-labelling results suggested the increased cell death and inflammation in the KO mice. RNA-sequencing analysis and GO enrichment analysis revealed that Tmem184b deletion resulted in down-regulated genes involved in various biological processes such as visual perception, response to hypoxia, regulation of transmembrane transporter activity. Taken together, our study revealed essential roles of Tmem184b in the mammalian retina and confirmed the underlying mechanisms including cell death, inflammation and hypoxia pathway in the absence of Tmem184b, providing a potential target for therapeutic and diagnostic development.

Embeddedness of Earth's gravity in visual perception.

Falling objects are commonplace in daily life, requiring precise perceptual judgments for interception and avoidance. We argue that human judgments of projectile motion arise from the interplay between sensory information and predictions constrained by Newtonian mechanics. Our study investigates how individuals perceive falling objects under various gravitational conditions, aiming to understand the role of internalized gravity in visual perception. Through meticulously controlling the available information, we demonstrated that these phenomena cannot be explained solely by simple heuristics nor representational momentum. Instead, we found that the perceptual judgments of humans (n = 11, 13, 14, and 11, respectively, in Experiments 1, 2, 3, and 4) are influenced by a combination of sensory information and gravity predictions, highlighting the role of internalized physical constraints in the perception of projectile motion.

A gradual transition toward categorical representations along the visual hierarchy during working memory, but not perception.

The ability to stably maintain visual information over brief delays is central to healthy cognitive functioning, as is the ability to differentiate such internal representations from external inputs. One possible way to achieve both is via multiple concurrent mnemonic representations along the visual hierarchy that differ systematically from the representations of perceptual inputs. To test this possibility, we examine orientation representations along the visual hierarchy during perception and working memory. Human participants directly viewed, or held in mind, oriented grating patterns, and the similarity between fMRI activation patterns for different orientations was calculated throughout retinotopic cortex. During direct viewing of grating stimuli, similarity was relatively evenly distributed amongst all orientations, while during working memory the similarity was higher around oblique orientations. We modeled these differences in representational geometry based on the known distribution of orientation information in the natural world: The "veridical" model uses an efficient coding framework to capture hypothesized representations during visual perception. The "categorical" model assumes that different "psychological distances" between orientations result in orientation categorization relative to cardinal axes. During direct perception, the veridical model explained the data well. During working memory, the categorical model gradually gained explanatory power over the veridical model for increasingly anterior retinotopic regions. Thus, directly viewed images are represented veridically, but once visual information is no longer tethered to the sensory world there is a gradual progression to more categorical mnemonic formats along the visual hierarchy.

A taxonomy for human social perception: Data-driven modeling with cinematic stimuli.

Every day, humans encounter complex social situations that need to be encoded effectively to allow interaction with others. Yet, principles for organizing the perception of social features from the external world remain poorly characterized. In this large-scale study, we investigated the principles of social perception in dynamic scenes. In the primary data set, we presented 234 movie clips (41 min) containing various social situations to 1,140 participants and asked them to evaluate the presence of 138 social features in each clip. Analyses of the social feature ratings revealed that some features are perceived categorically (present or absent) and others continuously (intensity) and simple social features requiring immediate response are perceived most consistently across participants. To establish the low-dimensional perceptual organization for social features based on movies, we used principal coordinate analysis and consensus clustering for the feature ratings. These dimension reduction analyses revealed that the social perceptual structure can be modeled with eight main dimensions and that behaviorally relevant perceptual categories emerge from these main dimensions. This social perceptual structure generalized from the perception of unrelated Hollywood movie clips to the perception of a full Finnish movie (70 min) and to the perception of static images (n = 468) and across three independent sets of participants (n = 2,254). Based on the results, we propose eight basic dimensions of social perception as a model for rapid social perception where social situations are perceived along eight orthogonal perceptual dimensions (most importantly emotional valence, empathy vs. dominance, and cognitive vs. physical behavior). (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Lensless light-field imaging using LMI

Light-field imaging is widely used in many fields, such as computer vision, graphics, and microscopy imaging, to record high-dimensional light information for abundant visual perception. However, light-field imaging systems generally have high system complexity and limited resolution. Over the last decades, lensless imaging systems have attracted tremendous attention to alleviate the restrictions of lens-based architectures. Despite their advantages, lensless light-field imaging introduces significant errors in light-field reconstruction. This paper introduces a novel, to our knowledge, light field moment imaging-based lensless imaging system (LMI-LIS) aiming to improve the quality of light-field reconstruction. The proposed approach first uses light field moment imaging (LMI) with a sinc angular distribution model of the light field to extract the encoded information of the scene for each sub-aperture area. Meanwhile, the corresponding sub-aperture point spread function is segmented from the system point spread function. Finally, sub-aperture images of the scene are reconstructed separately for each sub-aperture area. To evaluate the light-field reconstruction performance, the imaging quality and angular consistency of different lensless light-filed imaging methods are compared through digital refocusing, epipolar plane image, peak signal-to-noise ratio, and structural similarity index. Furthermore, the effectiveness of the proposed methodology is verified using experimental results and theoretical analysis. It is demonstrated that lensless light-field imaging using LMI and the sinc model of the angular distribution achieves high-quality sub-aperture images.

EEG differences in competitive female gymnastics, soccer, and esports athletes between resting states with eyes closed and open.

Athletes heavily rely on visual perception for performance. This study delves into electroencephalographic (EEG) brain activity among gymnastics, soccer, and esports athletes during resting states with eyes closed (REC) and open (REO) and compares differences in EEG alpha power from REC to REO (∆ EC-EO Alpha) across athlete groups. Forty-two female participants, including 14 from each athletic discipline, underwent two 5-minute EEG recordings, first during REC and then during REO conditions. Absolute EEG power was analyzed for delta (δ), theta (θ), alpha (α), and beta (β) frequency bands across various brain regions, and ∆ EC-EO Alpha values were computed. During REC, soccer players exhibited heightened α power at the midline frontopolar (Fpz) and β power at the midline occipital (Oz). Conversely, during REO, soccer players displayed increased δ power at Fpz and midline frontal (Fz) and reduced α power at the midline central (Cz) compared to gymnasts, along with elevated θ power at Fpz. Esports athletes demonstrated higher δ power and decreased α power at Fpz and Cz compared to gymnasts. Gymnasts exhibited distinct cortical activation patterns characterized by lower ∆ EC-EO Alpha at multiple electrode sites. These findings highlight sport-specific cortical activation patterns linked to visual attention among athletes. Understanding these neural adaptations could refine training methods and enhance performance outcomes in sports.

Towards living a better future: political vision and the humanistic conscience

Fromm’s theories can help the Left overcome its collective rejection of individualism and universalism, which limit socio-political possibility, offering Left solutions to these challenges and promoting alternate perspectives. His humanistic vision shares much with humanistic and positive psychology but differs in important respects. Centrally, Fromm’s notion of emancipation emphasises both individual and societal components. He believes independent and authentic relationships are a higher expression of human potential and bring true fulfilment. Fromm identifies a creative, non-alienated character orientation that includes a ‘humanistic conscience’. Comparing authoritarian and humanistic consciences, he emphasises human potential and social and individual interdependence. Personal development must also drive social change, and vice versa. Fromm’s perspective rejects zero-sum, either/or thinking about social change vis-à-vis individual flourishing. For him, both are important, and they are related. Following Fromm’s example, the Left should stress that individualistic societies cannot satisfy individual needs. Self-fulfilment requires fairness, community and shared personal experiences.

Color Recognition Achieved in Multiwavelength Controlled Plasmonic Optoelectronic Memristor for Neuromorphic Visual System

AbstractAn optoelectronic synaptic device with the color‐recognition ability is highly desired for achieving the high‐efficient neuromorphic color visual system. In order to realistically implement the functionality of retina (i.e., bipolar cells and cones photoreceptors), the exploration of multiwavelength controlled optoelectronic synaptic devices with fully light tunable ability would be sorely needed. Here, a multiwavelength controlled plasmonic optoelectronic memristor based on the size‐dependent localized surface plasmon resonance (LSPR) of metallic nanostructures is developed. The distinguishable red (R), green (G), and blue (B) light response behaviors can be achieved in this single device, which enables the realization of color image perception and memory functions. The RGB light‐strengthened synaptic plasticity can be depressed by ultraviolet light stimulations, relying on the effects of LSPR and optical excitation in WOx:Ag nanocomposites. Moreover, the visual attention for color (color discrimination) is realized in this memristor, which promotes the improvement of recognition accuracy during the color image recognition process. A new approach in developing multiwavelength controlled synaptic devices is provided here for highly efficient neuromorphic vision.

Measurement of sound perception to improve the performance of military ships

The performance of military ships relies on the performance of equipment and operators. Acoustic performance of military ships consists of: - the acoustic discretion of the vessel, allowing a strategical advantage in the event of a threat (more specifically: noise and vibrations management of ship sources); - the acoustic comfort of the operators in the ship, allowing better oral communication, better perception of safety alarms and a better focus. These effects can reduce time loss, and prevent operators from making errors. It is therefore important to manage the acoustic environment on board throughout the design process, in order to ensure both the acoustic discretion of the ship and the performance of its operators on board. For several years, Naval Group is interested in optimizing the performance of the operators, coupling both acoustic and visual perceptions through virtual reality (VR). This congress is an opportunity to expose recent works on acoustic perception in a ship. Our results are based on both numerical simulations and experimental measurements.