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ShareScore release 0.9.0
Dataset results
11 results for “Category learning”
Rule based and information integration category learning
<p>The following dataset includes sessions from rats and humans learning and generalizing to Rule-based and Information Integration categories. Here, category exemplars are Gabor patches, which are circular stimuli that contain black and white gratings. Across exemplars, these gratings can change in their spatial frequency and orientation. For Rule-based tasks, only one stimulus dimension (i.e., spatial frequency or orientation) is category-relevant, and the other dimension varies randomly. For Information Integration tasks, both stimulus dimensions (i.e., spatial frequency and orientation) are category-relevant. On each learning trial, participants are presented with a category exemplar and must decide its category membership. Feedback guides learning. Rats are trained using a touchscreen apparatus, whereas humans are trained using a desktop computer. </p>
Rule based and information integration category learning
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Data from: Individual-specific strategies inform category learning
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FIG. 5 in Ultrasound-based prediction of preoperative core biopsy categories in solid breast tumor using machine learning.
FIG. 5. Influence of parasite infection on total snail abundance. Number of original and juvenile snails observed in each parasite treatment (absent, present) on experimental day 65. Plotted values are means ± 1 SE. The y-axis is log transformed.
FIG. 2 in Ultrasound-based prediction of preoperative core biopsy categories in solid breast tumor using machine learning.
FIG. 2. Example Northern Leopard Frog metamorphs observed with limb deformities. (Top left) Extra limbs. (Top right) Extra limb and boney triangle. (Bottom left) Boney triangle. (Bottom right) Absent limbs.
FIG. 4 in Ultrasound-based prediction of preoperative core biopsy categories in solid breast tumor using machine learning.
FIG. 4. Influence of treatments on metamorph responses. (A) Proportion of Northern Leopard Frog tadpoles exposed to pesticide treatments (control, atrazine, Bti) and parasite treatments (absent, present) that survived to metamorphosis. (B) Larval period of Northern Leopard Frogs exposed to pesticide treatments (control, atrazine, Bti) and parasite treatments (absent, present). (C) Mass at metamorphosis of Northern Leopard Frogs exposed to pesticide treatments (control, atrazine, Bti) and parasite treatments (absent, present). Plotted values are means ± 1 SE.
FIG. 3 in Ultrasound-based prediction of preoperative core biopsy categories in solid breast tumor using machine learning.
FIG. 3. Influence of pesticide treatment on the proportion of metamorphs with deformities. Proportion of parasitized Northern Leopard Frog metamorphs with deformities exposed to pesticide treatments (control, atrazine, Bti). Plotted values are means ± 1 SE. The gray points indicate proportion of metamorphs deformed within each mesocosm.
FIG. 1 in Ultrasound-based prediction of preoperative core biopsy categories in solid breast tumor using machine learning.
FIG. 1. Effects of parasites on tadpole responses. Mass and Gosner developmental stage for Northern Leopard Frog tadpoles exposed to different parasite treatments (absent, present) for 7 wk. Plotted values are means ± 1 SE.
Incidental Auditory Category Training for Language Learning
ClinicalTrials.gov study NCT04509024. IPD Sharing: YES. Countries: 1. Publications: 0.
Category Learning Retention in Adults With and Without Developmental Language Disorder
ClinicalTrials.gov study NCT05901493. IPD Sharing: YES. Countries: 1. Publications: 0.
The Application Value of Deep Learning-Based Nomograms in Benign-Malignant Discrimination of TI-RADS Category 4 Thyroid Nodules
ClinicalTrials.gov study NCT06258044. IPD Sharing: NO. Countries: 1. Publications: 0.
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.