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Dataset results
40 results for “Visual representation”
Representation of visual landmarks in retrosplenial cortex
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“Not only faces”: specialized visual representation of human hands revealed by adaptation
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Data from: Inhibition decorrelates visual feature representations in the inner retina
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Data from: Selective visual representation of letters and words in the left ventral occipito-temporal cortex with intracerebral recordings
We report a comprehensive cartography of selective responses to visual letters and words in the human ventral occipito-temporal cortex (VOTC) with direct neural recordings, clarifying key aspects of the neural basis of reading. Intracerebral recordings were performed in a large group of patients (n = 37) presented with visual words inserted periodically in rapid sequences of pseudofonts, nonwords, or pseudowords, enabling classification of responses at three levels of word processing: letter, prelexical, and lexical. While letter selective responses are found in much of the VOTC, with a higher proportion in left posterior regions, prelexical/lexical responses are confined to the middle and anterior sections of the left fusiform gyrus. This region overlaps with and extends more anteriorly than the visual word form area typically identified with functional magnetic resonance imaging. In this region, prelexical responses provide evidence for populations of neurons sensitive to the statistical regularity of letter combinations independently of lexical responses to familiar words. Despite extensive sampling in anterior ventral temporal regions, there is no hierarchical organization between prelexical and lexical responses in the left fusiform gyrus. Overall, distinct word processing levels depend on neural populations that are spatially intermingled rather than organized according to a strict posteroanterior hierarchy in the left VOTC.
Landscapes and bodies in female visual representations of the pre-Hispanic Andes and their epistemic potentialities
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Data from: Emerging Representational Geometries in the Visual System Predict Reaction Times for Object Categorization
Recognizing an object takes just a fraction of a second, less than the blink of an eye. Applying multivariate pattern analysis, or "brain decoding", methods to magnetoencephalography (MEG) data has allowed researchers to characterize, in high temporal resolution, the emerging representation of objects that underlie our capacity for rapid recognition. Shortly after stimulus onset, exemplar stimuli cluster by category in high-dimensional activation spaces. In these emerging activation spaces, the decodability of exemplar category varies over time, reflecting the brain's transformation of visual inputs into coherent categorical representations. How do these emerging representations relate to categorization behavior? Recently it has been proposed that the distance of an exemplar representation from a categorical boundary in an activation space is critical for perceptual decision-making, and that reaction times should therefore correlate with distance from the boundary. The predictions of this distance hypothesis have been born out in human inferior temporal cortex (IT), an area of the brain crucial for the representation of object categories. The time of peak decoding is the optimal time for category information to be "read out" from the brain's time varying representation of the stimuli. In this study, we tested the distance hypothesis, and specifically whether or not the brain reads out at the optimal time for choice behavior. Using MEG decoding methods, we show that the distance of a pattern of activity from a decision boundary through a high-dimensional activation space correlates with reaction times in a visual categorization task, but only during the period of peak decodability. Our results suggest the brain uses the optimal stimulus representation for choice behavior, and that neural representations for objects are partially constitutive of the decision process in visual perception.
Data from: Selective visual representation of letters and words in the left ventral occipito-temporal cortex with intracerebral recordings
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Data from: Emerging Representational Geometries in the Visual System Predict Reaction Times for Object Categorization
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Data from: Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex
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Joint representation and visualization of derailed cell states with Decipher [scATAC-seq]
GEO Series GSE299002. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Defining Spatiotemporal Gene Modules in Liver Regeneration Using Analytical Dynamic Visual Spatial -Omics Representation (ADViSOR)
GEO Series GSE244211. Mus musculus. 13 samples. Type: Other.
Data from: Prediction error and repetition suppression have distinct effects on neural representations of visual information
Predictive coding theories argue that recent experience establishes expectations in the brain that generate prediction errors when violated. Prediction errors provide a possible explanation for repetition suppression, where evoked neural activity is attenuated across repeated presentations of the same stimulus. The predictive coding account argues repetition suppression arises because repeated stimuli are expected, whereas non-repeated stimuli are unexpected and thus elicit larger neural responses. Here we employed electroencephalography in humans to test the predictive coding account of repetition suppression by presenting sequences of visual gratings with orientations that were expected either to repeat or change in separate blocks of trials. We applied multivariate forward modelling to determine how orientation selectivity was affected by repetition and prediction. Unexpected stimuli were associated with significantly enhanced orientation selectivity, whereas selectivity was unaffected for repeated stimuli. Our results suggest that repetition suppression and expectation have separable effects on neural representations of visual feature information.
data: Early visual deprivation disrupts the mental representation of numbers in visually impaired children.
<p>The datasets contain the raw data of PAE and PE variables.</p>
Effects of Acetylcholine and Attention on Visual Spatial Representations in the Brain
ClinicalTrials.gov study NCT05003063. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Investigating the Mechanisms of the Effects of Psilocybin on Visual Perception and Visual Representations in the Brain
ClinicalTrials.gov study NCT05265546. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Prism Adaption and rTMS on Brain Connectivity and Visual Representation
ClinicalTrials.gov study NCT02911129. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Prediction error and repetition suppression have distinct effects on neural representations of visual information
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Data from: Premature birth affects visual body representation and body schema in preterm children
<p>Raw data used for the article "Premature birth affects visual body representation and body schema in preterm children"</p> <p>Research has demonstrated that from the first six months of life infants show early sensitivity to body visual features and rely on sensorimotor and proprioceptive inputs in forming representations of their own bodies. Premature birth interferes with typical exposition to visual, sensorimotor and proprioceptive stimulation, thus presumably affecting the development of body representations. Here, we tested this hypothesis by comparing the performance of preterm children with that of age-matched full-term children in two tasks assessing, respectively, visual body processing and body schema. We found that preterm children had spared configural processing but altered holistic processing of others’ bodies and showed a general difficulty in expressing visuospatial judgements on body stimuli. Furthermore, body-centered visuospatial abilities were associated with specific impairments in operating object-based visuospatial transformations. The findings of this study indicate that preterm birth might interfere with the development of body representations at the levels of body visual perceptual processing and of body schema, with effects even on visuo-spatial abilities for non-bodily stimuli. Body-centered rehabilitative interventions should be proposed to preterm children in order to enhance visuo-spatial abilities and higher-level cognitive functions.</p>
Joint representation and visualization of derailed cell states with Decipher
GEO Series GSE298955. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
PharmaVQA: A Retrieval-Augmented Visual Question Answering Framework for Molecular Representation via Pharmacophores Guided Prompts
<p>The dataset includes the preprocessed Li's dataset, MoleculeACE dataset, and 3 ligands dataset.</p>
ScienceDex guides
Understand access before you commit
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.