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ShareScore release 0.9.0
Dataset results
5 results for “Perceptual organization”
Superordinate Categorization Based on the Perceptual Organization of Parts - Dataset
<p>This is the dataset for:<br> Tiedemann, H.; Schmidt, F.; Fleming, R.W. Superordinate Categorization Based on the Perceptual Organization of Parts. Brain Sci. 2022, 12, 667. https://doi.org/10.3390/brainsci1205066</p> <p>Available at:<br> https://www.mdpi.com/2076-3425/12/5/667</p>
BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 9. Modular Hierarchical Organization of Perceptual Neuro-Symbolic Networks
<p>In analogy to how it is reported for the brain by A. Luria, connections of the lowest levels of the architecture of Figure 9 are predefined. Higher-level connections are set via a learning process, concretely via a supervised learning process that was described in detail in . More recent research findings indicate that learning could also already take place at lower levels of<br> perception and that unsupervised learning could be crucial for setting these connections. In, first attempts have been made to develop an unsupervised learning strategy for the model.</p>
BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 8. Modular Hierarchical Organization of the Human Perceptual System
<p>In order to perform complex tasks, neuro-symbols have to be connected to neuro-symbolic networks. For the structural organization of this neuro-symbolic network, the modular hierarchical organization of the human perceptual cortex as described by A. Luria [27] was taken as a blueprint (see Figure 8).</p>
The role of semantics in the perceptual organization of shape
<p>Dataset relative to the following publication:</p> <p>Schmidt, F., Kleis, J., Morgenstern, Y., & Fleming, R. W. (2020). The role of semantics in the perceptual organization of shape. <em>Scientific Reports, 10</em>, 22141. <a href="https://doi.org/10.1038/s41598-020-79072-w">https://doi.org/10.1038/s41598-020-79072-w</a></p> <p>Each experiment folder contains the data relative to one experiment and a Matlab script for plotting the data, together with a text file with comments. The stimuli folder contains image files of all experimental stimuli and corresponding copyright information.</p>
Knowledge-Driven Perceptual Organization Reshapes Information Sampling Via Eye Movements – data
<p>Data from the article <strong>Knowledge-Driven Perceptual Organization Reshapes Information Sampling Via Eye Movements</strong> published in the Journal of Experimental Psychology: Human Perception and Performance by Marek A. Pedziwiatr, Elisabeth von dem Hagen, and Christoph Teufel</p> <p>Marek A. Pedziwiatr<br> marek.pedziwi@mail.com<br> January 2023</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.