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24
datasets available to search
ShareScore release 0.9.0
Dataset results
24 results for “Visual working memory”
Visual working memory: Study one Task fMRI and Behavioural response
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Visual working memory: Study two Task fMRI and Behavioural response
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Data from: Capacity and selection in immersive visual working memory following naturalistic object disappearance
<p>Trial datasets and timeseries datasets associated with the experiment reported in the manuscript "Capacity and selection in immersive visual working memory following naturalistic object disappearance", by Babak Chawoush, Dejan Draschkow & Freek van Ede</p>
EEG: Visual Working Memory + Cabergoline Challenge
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EEG: Visual Working Memory in Acute TBI
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Data from two studies of learning in visual span working memory tasks.
<p>Data from two working memory span tasks. The span set size could be up to six, and each row in each .csv is one response (i.e., one "click" on an item). Thus, each trial's data is spread out on multiple rows, with accuracy being a binary variable.</p>
Data from: Prospection of potential actions during visual working memory starts early, is flexible, and predicts behavior.
<p>Raw data (EEG and behavior) reported in the manuscript "Prospection of potential actions in visual working memory starts early, is flexible, and predicts behavior" by Rose Nasrawi, Sage E.P. Boettcher, and Freek van Ede</p>
Data: Optimal trans-saccadic integration relies on visual working memory
<p>Dataset for the published paper: </p> <p>Stewart, E. E. M., & Schütz, A. C. (2018). Optimal Trans-saccadic integration relies on visual working memory. <em>Vision research</em>.</p> <p>DOI: <a href="https://doi.org/10.1016/j.visres.2018.10.002">10.1016/j.visres.2018.10.002</a></p>
Data from: Top-down selection of visual working memory contents is supported by alpha-band phase-synchronized oscillatory networks
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Dataset from: "Action relevance induces an attentional weighting of representations in visual working memory"
<p>Dataset from the following publication:</p> <p>Heuer, A., Crawford, J.D., & Schubö, A. (2016). Action relevance induces an attentional weighting of representations in visual working memory. Memory & Cognition. doi:10.3758/s13421-016-0670-3</p>
Dataset from: "Selective weighting of action-related feature dimensions in visual working memory"
<p>Dataset from the following publication:</p> <p>Heuer, A. & Schubö, A. (2016). Selective weighting of action-related feature dimensions in visual working memory. <em>Psychonomic Bulletin & Review.</em> doi:10.3758/s13423-016-1209-0</p>
Dataset from: "Separate and combined effects of action relevance and motivational value on visual working memory"
<p>Dataset from the following publication:</p> <p>Heuer, A., & Schubö, A. (2018). Separate and combined effects of action relevance and motivational value on visual working memory. <em>Journal of Vision, 18</em>, 14.</p>
Long-term Effects of Visual Spatial Working Memory Training Program Performed at Preschool Age in Very Preterm Infants With Visual Spatial Working Memory Deficit. A Randomized Controlled Trial
ClinicalTrials.gov study NCT02757794. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Probing the Role of Feature Dimension Maps in Visual Cognition: Impact of Working Memory Maintenance (Expt 2.3)
ClinicalTrials.gov study NCT06733467. IPD Sharing: YES. Countries: 1. Publications: 14.
Data from: Cross-frequency synchronization connects networks of fast and slow oscillations during visual working memory maintenance
Neuronal activity in sensory and fronto-parietal (FP) areas underlies the representation and attentional control, respectively, of sensory information maintained in visual working memory (VWM). Within these regions, beta/gamma phase-synchronization supports the integration of sensory functions, while synchronization in theta/alpha bands supports the regulation of attentional functions. A key challenge is to understand which mechanisms integrate neuronal processing across these distinct frequencies and thereby the sensory and attentional functions. We investigated whether such integration could be achieved by cross-frequency phase synchrony (CFS). Using concurrent magneto- and electroencephalography, we found that CFS was load-dependently enhanced between theta and alpha–gamma and between alpha and beta-gamma oscillations during VWM maintenance among visual, FP, and dorsal attention (DA) systems. CFS also connected the hubs of within-frequency-synchronized networks and its strength predicted individual VWM capacity. We propose that CFS integrates processing among synchronized neuronal networks from theta to gamma frequencies to link sensory and attentional functions.
Data from: Concurrent visual and motor selection during visual working memory guided action
Visual working memory enables us to hold onto past sensations in anticipation that these may become relevant for guiding future actions. Yet laboratory tasks have treated visual working memories in isolation from their prospective actions and have focused on the mechanisms of memory retention rather than utilization. To understand how visual memories become used for action, we linked individual memory items to particular actions and independently tracked the neural dynamics of visual and motor selection when memories became used for action. This revealed concurrent visual-motor selection, engaging appropriate visual and motor brain areas at the same time. Thus we show that items in visual working memory can invoke multiple, item-specific, action plans that can be accessed together with the visual representations that guide them, affording fast and precise memory-guided behavior.
Data from: Cross-frequency synchronization connects networks of fast and slow oscillations during visual working memory maintenance
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Data from: Concurrent visual and motor selection during visual working memory guided action
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Data from: A resource-rational theory of set size effects in human visual working memory
Encoding precision in visual working memory decreases with the number of encoded items. Here, we propose a normative theory for such set size effects: the brain minimizes a weighted sum of an error-based behavioral cost and a neural encoding cost. We construct a model from this theory and find that it predicts set size effects. Notably, these effects are mediated by probing probability, which aligns with previous empirical findings. The model accounts well for effects of both set size and probing probability on encoding precision in nine delayed-estimation experiments. Moreover, we find support for the prediction that the total amount of invested resource can vary non-monotonically with set size. Finally, we show that it is sometimes optimal to encode only a subset or even none of the relevant items in a task. Our findings raise the possibility that cognitive "limitations" arise from rational cost minimization rather than from constraints.
Investigating the Cognitive Source of Visual Working Memory Impairment in Schizophrenia
ClinicalTrials.gov study NCT05496413. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.