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10 results for “neural feedback”
Commonalities and differences in predictive neural processing of discrete vs continuous action feedback
<p>Dataset relative to the following publication:</p> <p>Schmitter, C.V., Steinsträter, O., Kircher, T., van Kemenade, B.M., Straube, B. (2021). Commonalities and differences in predictive neural processing of discrete vs continuous action feedback. <em>NeuroImage.</em> DOI: <a href="https://doi.org/10.1016/j.neuroimage.2021.117745">10.1016/j.neuroimage.2021.117745</a></p> <p> </p> <p>Details can be found in the readme file.</p>
Feasibility of Neural Feedback for Lower Limb Amputees
ClinicalTrials.gov study NCT03409133. IPD Sharing: YES. Countries: 1. Publications: 1.
Recorded neural data from: Nonlinear feedback modulation contributes to the optimization of flexible decision-making
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First- and second-order phase transitions in electronic excitable units and neural dynamics under global inhibitory feedback
<p>These are experimental time series and video data for an electronic model of neural dynamics consisting of a bi-dimensional array of neon glow lamps, where global inhibition can be simply introduced through a resistor in series with the supply voltage. They are provided to support the replication of the results reported in the associated publication, as well as any further public-domain academic research in the field of neural dynamics, nonlinear electronic circuits, and related aspects, in compliance with the specified license terms and all applicable legal clauses.</p> <p>The following reference must be cited when using these data:</p> <p>Minati L, Scarpetta S, Andelic M, Valdes-Sosa PA, Ricci L, de Candia A, First- and second-order phase transitions in electronic excitable units and neural dynamics under global inhibitory feedback, Chaos, Solitons and Fractals 182 (2024) 114701, DOI https://doi.org/10.1016/j.chaos.2024.114701.</p> <p>L.M. gratefully acknowledges the support of the ``Hundred Talents'' program of the University of Electronic Science and Technology of China, and the support of the ``Excellent Young Scientists Fund Program (Overseas)'' program of the National Natural Science Foundation of China. All experimental activities were self-funded and conducted by L.M. during the period 2020--2021 using own independent assets located in Grigno TN, Italy; the manuscript was later finalized after joining the University of Electronic Science and Technology of China, to which no equipment was transferred. This work has been supported by the Chengdu Science and Technology Bureau Program under Grant 2022GH02-00042-HZ and the CNS program of UESTC No. Y0301902610100201. The authors are grateful to Gabriele Brugnoni of DVE Progettazione Elettronica (Casciago VA, Italy) for essential workshop and manufacturing support.</p>
Data from: Feedback between tissue packing and neurogenesis in the zebrafish neural tube
Balancing the rate of differentiation and proliferation in developing tissues is essential to produce organs of robust size and composition. Although many molecular regulators have been established, how these connect to physical and geometrical aspects of tissue architecture is poorly understood. Here, using high-resolution timelapse imaging, we find that changes to cell geometry associated with dense tissue packing play a significant role in regulating differentiation rate in the zebrafish neural tube. Specifically, progenitors that are displaced away from the apical surface due to crowding, tend to differentiate in a Notch-dependent manner. Using simulations we show that interplay between progenitor density, cell shape and changes in differentiation rate could naturally result in negative-feedback control on progenitor cell number. Given these results, we suggest a model whereby differentiation rate is regulated by density dependent effects on cell geometry to: (1) correct variability in cell number; and (2) balance the rates of proliferation and differentiation over development to 'fill' the available space.
Data from: Feedback between tissue packing and neurogenesis in the zebrafish neural tube
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Neural correlates of temporal recalibration to delayed auditory feedback of active and passive movements
<p>Data related to the study: "Neural correlates of temporal recalibration to delayed auditory feedback of active and passive movements"</p>
Can an Array of Micro-electrodes Implanted in a Human Nerve Record Neural Signals and Provide Feedback?
ClinicalTrials.gov study NCT05505513. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bilateral Closed Loop Deep Brain Stimulation for Freezing of Gait Using Neural and Kinematic Feedback
ClinicalTrials.gov study NCT04043403. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Endothelin signaling activates neural crest gene expression via a MEF2C-dependent positive-feedback transcriptional mechanism
GEO Series GSE47919. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
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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.