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ShareScore release 0.9.0
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3 results for “naturalistic stimuli”
Stimuli examples for Object-based attention in complex, naturalistic auditory streams
<p>This is an example collection of stimuli used to study Object-based attention in complex, naturalistic auditory streams. The stimuli consist of single auditory streams of speech signals and environmental sounds signals that can contain a repetition of 750ms (starting name "target")or not (starting name "clean"). Two sounds stimuli, one with repetition and one without were randomly overlapped to form an auditory scene of two speech streams (starting name "sceneSS") or one speech and one environmental stream (starting name "sceneSE"). </p>
Img2brain: Predicting the neural responses to visual stimuli of naturalistic scenes using machine learning
<p>The data for this project is part of the <a href="https://doi.org/10.1038/s41593-021-00962-x">Natural Scenes Dataset</a> (NSD), a massive dataset of 7T fMRI responses to images of natural scenes coming from the <a href="https://cocodataset.org/#home">COCO dataset</a>. The training dataset consists of brain responses measured at 10.000 brain locations (voxels) to 8857 images (in jpg format) for one subject. The 10.000 voxels are distributed around the visual pathway and may encode perceptual and semantic features in different proportions. The test dataset comprises 984 images (in jpg format), and the goal is to predict the brain responses to these images.</p> <p>The zip file contains the following folders:</p> <p>1. <strong>trainingIMG</strong>: contains the training images (8857) in jpg format. The numbering corresponds to the order of the rows in the brain response matrix.</p> <p>2. <strong>testIMG</strong>: contains test images (984) in jpg format.</p> <p>3. <strong>trainingfMRI</strong>: contains a npy file with the fMRI responses measured at 10000 brain locations (voxels) to the training images. The matrix has 8857 rows (one for each image) and 10000 columns (one for each voxel).</p>
Neurofeedback During Naturalistic Stimuli to Reduce Craving in Heroin Addiction
ClinicalTrials.gov study NCT07344233. IPD Sharing: YES. 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.