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190 results for “eye movements”
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>
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>
Non-rapid eye movement sleep determines resilience to social stress
<p>Resilience, the ability to overcome stressful conditions, is found in most mammals and varies significantly among individuals. A lack of resilience can lead to the development of neuropsychiatric and sleep disorders, often within the same individual. Despite extensive research into the brain mechanisms causing maladaptive behavioral-responses to stress, it is not clear why some individuals exhibit resilience. To examine if sleep has a determinative role in maladaptive behavioral-response to social stress, we investigated individual variations in resilience using a social-defeat model for male mice. Our results reveal a direct, causal relationship between sleep amount and resilience—demonstrating that sleep increases after social-defeat stress only occur in resilient mice. Further, we found that within the prefrontal cortex, a regulator of maladaptive responses to stress, pre-existing differences in sleep regulation predict resilience. Overall, these results demonstrate that increased NREM sleep, mediated cortically, is an active response to social-defeat stress that is both necessary and sufficient for promoting resilience. They also show that differences in resilience are strongly correlated with inter-individual variability in sleep regulation.</p>
Dataset: Age effects in emotional memory and associated eye movements
<p><span>Mnemonic-enhanced memory has been observed for negative events. Here, we investigate its association with spatiotemporal attention, consolidation, and age. An ingenious method to study visual attention for emotional stimuli is eye tracking. Twenty young adults and twenty-one older adults encoded stimuli depicting neutral faces, angry faces, and houses while eye movements were recorded. The encoding phase was followed by an immediate and delayed (48 h) recognition assessment. Linear mixed model analyses of recognition performance with group, emotion, and their interaction as fixed effects revealed increased performance for angry compared to neutral faces in the young adults group only. Furthermore, young adults showed enhanced memory for angry faces compared to older adults. This effect was associated with a shorter fixation duration for angry faces compared to neutral faces in the older adults group. Furthermore, the results revealed that total fixation duration was a strong predictor for face memory performance.</span></p>
Human eye movements during letter discrimination
<p>Human eye movement data from 6 subjects (de-identified), corresponding to the data analyzed and reported in Lin et al., Current Biology 2023. All trials with satisfactory eye tracking are included.</p>
Efficacy and Tolerability of Ramelteon in Patients With Rapid Eye Movement (REM) Behavior Disorder and Parkinsonism
ClinicalTrials.gov study NCT00745030. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Systematic Case Series Investigating Eye Movement Desensitization Reprocessing (EMDR) Efficacy With Childhood Sexual Abuse Survivors
ClinicalTrials.gov study NCT03966963. IPD Sharing: NO. Countries: 1. Publications: 1.
A Feasibility Trial of Eye Movement Desensitization and Reprocessing Therapy- Integrative Treatment Group Protocol for Ongoing Traumatic Stress In Road Traffic Accident Survivors for Reduction of Post
ClinicalTrials.gov study NCT07027930. IPD Sharing: NO. Countries: 1. Publications: 1.
Translation of Eye Movement Reading Training to Clinical Practice
ClinicalTrials.gov study NCT01853930. IPD Sharing: NO. Countries: 1. Publications: 6.
Determinants of Age Related Breathing Instability During Non-Rapid-Eye-Movement (NREM) Sleep
ClinicalTrials.gov study NCT00732199. IPD Sharing: NO. Countries: 1. Publications: 1.
Dataset: Age effects in emotional memory and associated eye movements
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Data from: Breeding site departure and post-departure movement strategy in Vireo olivaceus (Red-eyed Vireo)
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Non-rapid eye movement sleep determines resilience to social stress
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A cognitive process occurring during sleep revealed by rapid eye movements
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Autism Detection Based on Eye Movement Sequences on the Web: A Scanpath Trend Analysis Approach
<p>We propose a novel approach to detect autism based on the eye-movement paths of users on the Web. This approach based on Scanpath Trend Analysis (STA) proposed by Eraslan et al. (2016, 2017). This dataset is created to provide supplementary data for our paper entitled "Autism Detection Based on Eye Movement Sequences on the Web: A Scanpath Trend Analysis Approach" presented at <a href="http://www.w4a.info/2020/">the 17th International Web for All Conference (W4A'20)</a>. This dataset includes all the individual paths used for the evaluation of our proposed approach. The dataset also includes the Python code to re-run the evaluation.</p> <p><strong>References:</strong></p> <ul> <li>Sukru Eraslan, Yeliz Yesilada, and Simon Harper. 2016. Scanpath Trend Analysis on Web Pages: Clustering Eye Tracking Scanpaths. ACM Transactions on the Web, (SCI-E), 10, 4, Article 20.</li> <li>Sukru Eraslan, Yeliz Yesilada, and Simon Harper. 2017. Engineering web-based interactive systems: trend analysis in eye tracking scanpaths with a tolerance. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS '17). ACM, New York, NY, USA, 3-8.</li> </ul>
Dataset from 'Billino,J., Hennig, J., & Gegenfurtner K.R. (2016). The role of dopamine in anticipatory pursuit eye movements: Insights from genetic polymorphisms in healthy adults. eNeuro, 3(6). doi: 10.1523/ENEURO.0190-16.2016'
<p>Dataset associated with the following publication:</p> <p>Billino,J., Hennig, J., & Gegenfurtner K.R. (2016). The role of dopamine in anticipatory pursuit eye movements: Insights from genetic polymorphisms in healthy adults. eNeuro, 3(6). doi: 10.1523/ENEURO.0190-16.2016 <span><a></a></span></p> <p>--------------------------------------------------------------</p> <p>The folder contains 2 data files and 1 description file providing column labels.<br> The data file 'anticippursuit.txt' contains the dataset for the anticipatory pursuit task.<br> The data file 'visualpursuit.txt' contains the dataset for the visually pursuit task.</p> <p>-------------------------------------------------------------</p> <p>For further questions, please contact:<br> jutta.billino[at]psychol.uni-giessen.de</p> <p> </p>
Visual reinforcement shapes eye movements in visual search
<p>Dataset from the following publication:</p> <p>Paeye, C., Schütz, A. C., & Gegenfurtner, K. R. (2016). Visual reinforcement shapes eye movements in visual search. Journal of Vision, 16(10):15, 1–15, <a>doi:10.1167/16.10.15 <span></span></a><a></a></p>
Attention is allocated closely ahead of the target during smooth pursuit eye movements: evidence from EEG frequency tagging
<p>Dataset relative to the following publication:</p> <p>Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2017). Attention is allocated closely ahead of the target during smooth pursuit eye movements: Evidence from EEG frequency tagging. <strong>Neuropsychologia</strong>, doi: 10.1016/j.neuropsychologia.2017.06.024.</p> <p>Please refer to "data description.txt" in each experiment for details about the data. </p>
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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.