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3,905 results for “eye”
Execution of saccadic eye movements affects speed perception
<p>This depository contains the data from different experiments regarding the perceived speed of moving targets tracked with different oculomotor behavior.</p> <p>The folders "Gap Paradigm" and "Step Paradigm" contain the main data for the manuscript. The folders "Vertical Offset Control" and "Awareness of Saccades" data from additional control experiments.</p> <p>In the folders "Gap Paradigm" and "Step Paradigm" you will find additional folders seperating the conditions for the collected data. One "Pilot" Folder contains the data used in the pilot experiment to determine the relevant eye crossing times. The "Speed Discrimination" Folder contains the files where participants made judgements about moving objects while tracking it with the eyes. In the "Fixation" folder you find the data for the fixation control where observes saw the same stimulus as during the speed discrimination task, but where not allowed to track the moving object.</p> <p>For each of the experiments we have a folder for the seperate blocks of the participant, which contains a logfile which specifys the parameters used for all trials and seperate files which contain information about the eye position during each trial.</p> <p>The structure of the eye position files is always the same: time, x-position, y-position, events marked by the eyelink. The x- and y-position are coded in pixels on the screen. The parameters specified in the log-fileare explained in an additional readme file.</p>
Fig. 16 in Evolution of genital asymmetry, exaggerated eye stalks, and extreme palpal elongation in Panjange spiders (Araneae: Pholcidae)
Fig. 16. Known distribution of the Panjange lanthana group.
Quantitative comparison of a mobile and a stationary video-based eye-tracker
<p>Vision represents the most important sense of primates. To understand visual processing, various different methods are employed, e.g. electrophysiology, psychophysics or eye tracking. For the latter, researchers recently began to step outside the artificial environments of laboratory setups towards the more natural conditions we usually face in the real world. This approach was enabled by sophisticated video-based mobile eye-trackers. Yet, their mobility and light weight often comes at an expense of reduced performance and accuracy, compared to the stationary eye-trackers, which nowadays are considered a gold standard in vision science.</p> <p>In order to get a better understanding of the advantages and limitations of both eye-tracking techniques, we quantitatively compared one of the most advanced mobile eye-trackers available, the EyeSeeCam (ESC, sampling at 230 Hz), with a commonly used laboratory eye-tracker, the EyeLink II (ELII, sampling at 500 Hz). We aimed to investigate whether or not fully mobile eye-trackers are capable of providing adequate data to allow for a direct comparison with data recorded with stationary eye-trackers. Therefore, we recorded three different, commonly used eye movements, i.e. fixation, saccades and smooth pursuit eye movements, with both eye trackers in successive standardized paradigms in a laboratory setting with eight human subjects.</p> <p>Despite major technical differences, the values of most eye movement parameters were not statistically different between both systems. Differences could only be found in overall gaze accuracy and for time critical parameters like saccade duration, for which a higher sample frequency is especially useful. Although, the stationary ELII system proved to be superior, especially at a single subject or even at a single trial basis, the ESC showed a similar performance for averaged parameters across trials and subjects. We conclude that modern high-performance mobile eye-trackers are well suited to provide reliable oculomotor data at the required spatial and temporal resolution.</p> <p>Here we provide the raw data recorded with both eye trackers in eights human subjects in the three different, commonly used, oculomotor tasks.</p>
On the role of eye contact in gaze cueing
<p>The data presented here are reported in Kompatsiari et al. 2018<br> Please refer to that paper for context and method. </p> <p> </p>
Systematic review of the appropriateness of eye care delivery in eye care practice
<p>Data collected from the included literature (n=57).</p>
A Dataset of Eye Movements for the Children with Autism Spectrum Disorder
<p>Dataset of eye movements of children with Autism Spectrum Disorder. It consists of 300 natural scene images and the corresponding eye movement data collected from 14 children with ASD and 14 healthy controls. In particular, fixation maps and scanpaths are available in the dataset. Based on this dataset, researchers could analyze the visual traits of children with ASD and design specialized visual attention models to promote research in related fields, as well as design specialized models to identify the individuals with ASD.</p>
Cortical mechanisms of smooth eye movements revealed by dynamic covariations of neural and behavioral responses
<p>Neural activity in the frontal eye fields controls smooth pursuit eye movements, but the relationship between single neuron responses, cortical population responses, and eye movements is not well understood. We describe an approach to dynamically link trial-to-trial fluctuations in neural responses to parallel variations in pursuit and demonstrate that individual neurons predict eye velocity fluctuations at particular moments during the course of behavior, while the population of neurons collectively tiles the entire duration of the movement. The analysis also reveals the strength of correlations in the eye movement predictions derived from pairs of simultaneously recorded neurons and suggests a simple model of cortical processing. These findings constrain the primate cortical code for movement, suggesting that either a few neurons are sufficient to drive pursuit at any given time or that many neurons operate collectively at each moment with remarkably little variation added to motor command signals downstream from the cortex.</p>
Saccades Exert Spatial Control of Motion Processing for Smooth Pursuit Eye Movements
<p>Saccades modulate the relationship between visual motion and smooth eye movement. Before a saccade, pursuit eye movements reflect a vector average of motion across the visual field. After a saccade, pursuit primarily reflects the motion of the target closest to the endpoint of the saccade. We tested the hypothesis that the saccade produces a spatial weighting of motion around the endpoint of the saccade. Using a moving pursuit stimulus that stepped to a new spatial location just before a targeting saccade, we controlled the distance between the endpoint of the saccade and the position of the moving target. We demonstrate that the smooth eye velocity following the targeting saccade weights the presaccadic visual motion inputs by the distance from their location in space to the endpoint of the saccade, defining the extent of a spatiotemporal filter for driving the eyes. The center of the filter is located at the endpoint of the saccade in space, not at the position of the fovea. The filter is stable in the face of a distracter target, is present for saccades to stationary and moving targets, and affects both the speed and direction of the postsaccadic eye movement. The spatial filter can explain the target-selecting gain change in postsaccadic pursuit, and has intriguing parallels to the process by which perceptual decisions about a restricted region of space are enhanced by attention. The effect of the spatial saccade plan on the pursuit response to a given retinal motion describes the dynamics of a coordinate transformation.</p>
A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection Based on Color Fundus Photography
<p>The data for "A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection Based on Color Fundus Photography", including original image data and labels, DL model files, training logs and validation results.</p> <p><strong>Content</strong>:</p> <p>- <strong>Ex1_Preprocessing</strong> # the first experiment: preprocessing methods comparison</p> <p> - <strong>history</strong> # validation results of different metrics of models </p> <p> - <strong>log</strong> # training record of models. Read by TensorBoard</p> <p> - <strong>model</strong> # model file. Read by Keras</p> <p>- <strong>Ex2_Self-adaptive model</strong> # the second experiment: development of eye laterality detection model</p> <p> - <strong>data</strong> # serialized image data, including data and ground-truth label. Read by Python Pickle package.</p> <p> - <strong>Xy.h5</strong> # training data</p> <p> - <strong>test_Xy.h5</strong> # testing data</p> <p> - <strong>history</strong> # validation results of different metrics of models </p> <p> - <strong>log</strong> # training record of models. Read by TensorBoard</p> <p> - <strong>model</strong> # model file. Read by Keras</p> <p> - <strong>with_adaptive</strong> # with self-adaptive strategy</p> <p> - <strong>without_adaptive</strong> # without self-adaptive strategy</p> <p>For code review, please see: <a href="https://github.com/keepgallop/Eye-laterality-detection">https://github.com/keepgallop/Eye-laterality-detection</a></p> <p>For more information, please contact liuchi_email@foxmail.com</p> <p> </p> <p> </p> <p> </p>
Gaze cueing by multiple people - averaged eye tracking data by participant
<p>Data for article Gaze cueing by multiple people.</p> <p>Averaged eye tracking data by participant that was included.</p> <p>Task 1 - time to first fixation and total fixation duration for each Area of Interest </p> <p>Task 2 - time to first fixation for Area of Interest as determined by the task </p>
"Haptic aesthetics and bodily properties of Ori Gersht's digital art: a behavioral and eye-tracking study." - datasets and script
<p>"Haptic aesthetics and bodily properties of Ori Gersht’s digital art: a behavioral and eye-tracking study."</p> <p>Datasets and R script for analyses of behavioural scores and visual parameter.</p>
Fig. 1 in The sixth sense in mammalian forerunners: Variability of the parietal foramen and the evolution of the pineal eye in South African Permo-Triassic eutheriodont therapsids
Fig. 1. Measurement protocol of foramen magnum, parietal foramen, and orbit in Therapsida.
Accessibility Reviews Associated with Visual Disabilities or Eye Conditions
<p>A dataset of nearly 180 million user reviews from which we extracted 4,999 accessibility reviews that express concerns that affect users with visual disabilities or eye conditions. </p> <p>This data is related to the following paper:</p> <p>Alberto Dumont Alves Oliveira, Paulo Sérgio Henrique Dos Santos, Wilson Estécio Marcílio Júnior, Wajdi M Aljedaani, Danilo Medeiros Eler, and Marcelo Medeiros Eler. 2023. Analyzing Accessibility Reviews Associated with Visual Disabilities or Eye Conditions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 37, 1–14. <a href="https://doi.org/10.1145/3544548.3581315" rel="nofollow">https://doi.org/10.1145/3544548.3581315</a></p>
Data from: More than meets the eye? the role of annual ornamental flowers in supporting pollinators
<p>Ornamental flowers are commonly planted in urban and suburban areas to provide foraging resources for pollinator populations. However, their role in supporting broad pollinator biodiversity is not well established as previous studies have been conducted in urban landscapes with pollinator communities that are distinct from those in natural systems. We observed pollinator visitation patterns to five ornamental annual plant genera and their cultivars over multiple years at two semi-natural sites in Pennsylvania to understand their potential for supporting diverse pollinator communities. There was significant variation in visitor abundance and diversity by season and year for many annual ornamental cultivars. Within some genera, cultivars had similar visitor abundance, diversity, and main visitor taxa, while cultivars in other genera varied greatly in these measures. We observed only polylectic (pollen generalist) bee species visiting annual ornamentals, despite the presence of oligolectic (pollen specialist) bee species in the background population. We conclude that the attractiveness of annual ornamental plants likely depends on both cultivar characteristics and environmental context. While their role in supporting complex pollinator populations is limited both based on the number of and dietary breadth of the species they support, ornamental plants may nonetheless provide long-lasting supplemental foraging resources for the generalist pollinator communities characteristic of urban and suburban environments.</p>
Fig. 6 in Observations On Breeding And Moulting Of The Grey-Eyed Bulbul, Iole Propinqua, In Thailand
Fig. 6. Primary moult score of Grey-eyed Bulbul plotted against rectrice moult score.
Figs. 1, 2 in Observations On Breeding And Moulting Of The Grey-Eyed Bulbul, Iole Propinqua, In Thailand
Figs. 1, 2. The nest of Grey-eyed Bulbul Iola propinqua.
Fig. 5 in Observations On Breeding And Moulting Of The Grey-Eyed Bulbul, Iole Propinqua, In Thailand
Fig. 5. Primary moult score of Grey-eyed Bulbul plotted against tertial moult score.
Fig. 4 in Observations On Breeding And Moulting Of The Grey-Eyed Bulbul, Iole Propinqua, In Thailand
Fig. 4. Primary moult score of Grey-eyed Bulbul plotted against secondary moult score.
Imaging Mass Cytometry for high-dimensional tissue profiling in the eye
<p>Imaging mass cytometry data (folders containing single tiffs + cell masks) generated for the analysis of healthy conjunctiva and conjunctival melanoma.</p>
Figure 9 in New genera records of split-eyed owlflies (Neuroptera: Myrmeleontidae: Ascalaphinae) from Colombia
Figure 9. Cordulecerus surinamensis: (A) wing venation; (B) head and thorax, dorsal; (C) head, frontal; (D) antennal apical club.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.