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83 results for “visual processing”

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zenodo36/100

ENST-Drums: an extensive audio-visual database for drum signals processing

<p>The <strong>ENST-Drums database</strong> is a large and varied research database for automatic drum transcription and processing:</p> <ul> <li>Three professional drummers specialized in different music genres were recorded.</li> <li>Total duration of audio material recorded per drummer is around 75 minutes.</li> <li>Each drummer played his own drum kit.</li> <li>Each sequence used either sticks, rods, brushes or mallets to increase the diversity of drum sounds.</li> <li>The drum kits themselves are varied, ranging from a small, portable, kit with two toms and 2 cymbals, suitable for jazz and latin music ; to a larger rock drum set with 4 toms and 5 cymbals.</li> </ul> <p>Each sequence is recorded on 8 individual audio channels, is filmed from two angles, and is fully annotated</p> <p>A large part of ENST-Drums is publicly available <strong>under some conditions</strong>. These conditions include:</p> <ul> <li>The use and exploitation of the database should be limited to <strong>research</strong> purposes. No commercial use is possible.</li> <li>The database is distributed under the licence &quot;Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)&quot;</li> <li>Any document describing a research work where ENST-Drums was used should include a reference to ENST-Drums and to the paper <em>Olivier Gillet and Ga&euml;l Richard. ENST-Drums: an extensive audio-visual database for drum signals processing, In Proc of ISMIR&#39;06, Victoria, Canada, 2006.</em></li> </ul> <p>&nbsp;</p> <p><strong>Acknowledgements</strong></p> <p>We would like to thank:</p> <ul> <li>The 3 drummers: Louis Cav&eacute;, Bertrand Clouard and Fr&eacute;d&eacute;ric Rottier.</li> <li>E. Thi&eacute;von (author) and Play Music Publishing (publisher) for the background accompaniment sequences.</li> </ul> <p>The authors wish to acknowledge the support of the French ministry of research (<a href="http://recherche.ircam.fr/equipes/analyse-synthese/musicdiscover">ACI-MusicDiscover</a> project) and of the European Commission under the <a href="http://www.k-space.eu/">FP6-027026-K-SPACE</a> contract.</p>

opencc-by-nc-nd-4.0Oct 2006View details →
dryad36/100

Neural and visual processing of social gaze cueing in typical and ASD adults

<p>Atypical eye gaze in joint attention is a clinical characteristic of autism spectrum disorder (ASD). Despite this documented symptom, neural processing of joint attention tasks in real-life social interactions is not understood. To address this knowledge gap, functional-near infrared spectroscopy (fNIRS) and eye-tracking data were acquired simultaneously as ASD and typically developed (TD) individuals engaged in a gaze-directed joint attention task with a live human and robot partner. We test the hypothesis that face processing deficits in ASD are greater for interactive faces than for simulated (robot) faces. Consistent with prior findings, neural responses during human gaze cueing modulated by face visual dwell time resulted in increased activity of ventral frontal regions in ASD and dorsal parietal systems in TD participants. Hypoactivity of the right dorsal parietal area during live human gaze cueing was correlated with autism spectrum symptom severity: Brief Observations of Symptoms of Autism (BOSA) scores (r = -0.86). Contrarily, neural activity in response to robot gaze cueing modulated by visual acquisition factors activated dorsal parietal systems in ASD, and this neural activity was not related to autism symptom severity (r = 0.06). These results are consistent with the hypothesis that altered encoding of incoming facial information to the dorsal parietal cortex is specific to live human faces in ASD. These findings open new directions for understanding joint attention difficulties in ASD by providing a connection between superior parietal lobule activity and live interaction with human faces.</p>

opencc-zeroJan 2023View details →
zenodo36/100

Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration

<p>Data and MATLAB analysis script for the paper &quot;Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration&quot;</p>

opencc-by-4.0Jul 2023View details →
dryad36/100

Neural and behavioral data from: A dynamic sequence of visual processing initiated by gaze shifts

<p>Animals move their head and eyes as they explore and sample the visual scene. Previous studies have demonstrated neural correlates of head and eye movements in rodent primary visual cortex (V1), but the sources and computational roles of these signals are unclear. We addressed this by combining measurement of head and eye movements with high density neural recordings in freely moving mice. V1 neurons responded primarily to gaze shifts, where head movements are accompanied by saccadic eye movements, rather than to head movements where compensatory eye movements stabilize gaze. A variety of activity patterns immediately followed gaze shifts, including units with positive, biphasic, or negative responses, and together these responses formed a temporal sequence following the gaze shift. These responses were greatly diminished in the dark for the vast majority of units, replaced by a uniform suppression of activity, and were similar to those evoked by sequentially flashed stimuli in head-fixed conditions, suggesting that gaze shift transients represent the temporal response to the rapid onset of new visual input. Notably, neurons responded in a sequence that matches their spatial frequency preference, from low to high spatial frequency tuning, consistent with coarse-to-fine processing of the visual scene following each gaze shift. Recordings in foveal V1 of freely gazing head-fixed marmosets revealed a similar sequence of temporal response following a saccade, as well as the progression of spatial frequency tuning. Together, our results demonstrate that active vision in both mice and marmosets consists of a dynamic temporal sequence of neural activity associated with visual sampling.</p>

opencc-zeroOct 2023View details →
dryad36/100

Processed data for: Co-registration of heading to visual cues in retrosplenial cortex

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publicMar 2023View details →
dryad36/100

Stiffness reprogrammable magnetorheological metamaterials inspired by the spine for multi-bit visual mechanical information processing

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publicOct 2025View details →
dryad36/100

Visual processing and collective motion-related decision-making in desert locusts

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publicDec 2022View details →
dryad36/100

Neural and behavioral data from: A dynamic sequence of visual processing initiated by gaze shifts

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publicOct 2023View details →
dryad36/100

Neural and visual processing of social gaze cueing in typical and ASD adults

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publicJan 2023View details →
dryad36/100

Spatiotemporal processing of real faces is supported by dissociable visual-sensing-modulated neural circuitry

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publicJul 2025View details →
dryad36/100

Data from: Visualizing mineralization processes and fossil anatomy using synchronous synchrotron X-ray fluorescence and X-ray diffraction mapping

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publicAug 2020View details →
dryad32/100

Data from: Zebrafish differentially process colour across visual space to match natural scenes

Animal eyes have evolved to process behaviorally important visual information, but how retinas deal with statistical asymmetries in visual space remains poorly understood. Using hyperspectral imaging in the field, in vivo 2-photon imaging of retinal neurons, and anatomy, here we show that larval zebrafish use a highly anisotropic retina to asymmetrically survey their natural visual world. First, different neurons dominate different parts of the eye and are linked to a systematic shift in inner retinal function: above the animal, there is little color in nature, and retinal circuits are largely achromatic. Conversely, the lower visual field and horizon are color rich and are predominately surveyed by chromatic and color-opponent circuits that are spectrally matched to the dominant chromatic axes in nature. Second, in the horizontal and lower visual field, bipolar cell terminals encoding achromatic and color-opponent visual features are systematically arranged into distinct layers of the inner retina. Third, above the frontal horizon, a high-gain UV system piggybacks onto retinal circuits, likely to support prey capture.

opencc-zeroDec 2017View details →
zenodo32/100

How manual object exploration is associated with 7- to 8-month-old infants' visual prediction abilities in spatial object processing.

<p>Data set of Kubicek, C., Jovanovic, B., &amp; Schwarzer, G. (in press). How manual object exploration is associated with 7- to 8-month-old infants’ visual prediction abilities in spatial object processing. <em>Infancy.</em></p>

opencc-by-4.0May 2017View details →
zenodo32/100

Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations: Data and Visualization Notebooks

<p>The data, jupyter notebooks, and saved model weights for the "Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations" Hu et al. (2025) arxiv preprint:&nbsp;<a href="https://arxiv.org/abs/2407.00124">arXiv:2407.00124</a>. This updated version contains more analysis notebooks together with related data/model.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Processed Data and codes for visualization

<p>Processed Data and codes for visualization</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Audio-Visual Analytics Process

<p>Conceptual process of an audio-visual analytics environment: Data is transformed to images and sound for the human analyst who interactively steers the analysis.</p> <p>Created using the <a href="https://thenounproject.com/icon/engineer-1362184/">&quot;engineer&quot; icon by Pawinee E. from the Noun Project</a> under <a href="https://creativecommons.org/licenses/by/2.0/">CC BY</a>.</p> <p>&nbsp;</p>

opencc-by-4.0May 2021View details →
zenodo32/100

Processed data and scripts for visualization of Kotsuki et al. (2022; GMDD)

<p>Processed data and scripts for visualization of Kotsuki et al. (2022; GMDD)</p>

opencc-by-4.0May 2022View details →
zenodo32/100

Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability

<p>Data supporting the findings in:</p> <p>Lubinus, C., Einh&auml;user, W., Schiller, F., Kircher, T., Straube, B., &amp; van Kemenade, B. M. (2022). Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability. <em><strong>NeuroImage</strong>. DOI: XXX</em></p> <p>Details are specified in the readme file.</p>

opencc-by-4.0Aug 2022View details →
zenodo32/100

Kinematic Process and Characteristic of Root-Induced Water Flow Using a Visualizing Point Source Infiltration Experiment

<p><span>The video is the temporal results of the 2-D point source infiltration experiment in this paper. &lsquo;G-&rsquo; represents the granular experimental group, and &rsquo;RG-&rsquo; represents the root-granular experimental group. The injection rate of G-1 and RG-1 is 0.25 mm/min, corresponding to the boundary flow rate of 0.03 ml/min.&nbsp;</span></p> <p><span>In this experiment, the glass beads have a particle diameter ranging from 0.6-0.8 mm. The selected root has diameters ranging from 1.3-1.5 mm.</span></p>

opencc-by-4.0May 2024View details →
zenodo32/100

Data for: Exploring Emerging Social Media: Acquiring, Processing, and Visualizing Data with Python and OSoMe Web Tools

<p>Data collected from Bluesky and Mastodon via streaming covering the period between 2024-06-25 and 2024-07-02. Entries contains any the of following terms: biden, trump, or debate. Data also contains embedding precalculated for each dataset. The data also contains embeddings pre calculcated for the datasets.</p>

opencc-by-nc-4.0Dec 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record