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Dataset results
29 results for “mesoscopic”
Data from: Resolving the mesoscopic missing link: biophysical modeling of EEG from cortical columns in primates
<p class="MsoNormal"><span>Event-related potentials (ERP) are among the most widely measured indices for studying human <span>cognition. While their timing and magnitude provide valuable insights, their usefulness is limited by our understanding of their neural generators at the circuit level. Inverse source localization offers insights into such generators, but their solutions are not unique. To address this problem, scientists have assumed the source space generating such signals comprises a set of discrete equivalent current dipoles, representing the activity of small cortical regions. Based on this notion, theoretical studies have employed forward modeling of scalp potentials to understand how changes in circuit-level dynamics translate into macroscopic ERPs. However, experimental validation is lacking because it requires <em>in vivo</em> measurements of intracranial brain sources. Laminar local field potentials (LFP) offer a mechanism for estimating intracranial current sources. Yet, a theoretical link between LFPs and intracranial brain sources is missing. Here, we present a forward modeling approach for estimating mesoscopic intracranial brain sources from LFPs and predict their contribution to macroscopic ERPs. We evaluate the accuracy of this LFP-based representation of brain sources utilizing synthetic laminar neurophysiological measurements and then demonstrate the power of the approach <em>in vivo</em> to clarify the source of a representative cognitive ERP component. To that end, </span>LFP was measured across the cortical layers of visual area V4 in macaque monkeys performing an attention demanding task. <span>We show that area V4 generates dipoles through layer-specific transsynaptic currents that biophysically recapitulate the ERP component through the detailed forward modeling. The constraints imposed on EEG production by this method also revealed an important dissociation between computational and biophysical contributors. As such, this approach </span>represents an important bridge between laminar microcircuitry, through the mesoscopic activity of cortical columns to the patterns of EEG we measure at the scalp. </span></p>
Nanoscale engineering and dynamical stabilization of mesoscopic spin textures - Experimental Data
<p>Experimental data for "Nanoscale engineering and dynamical stabilization of mesoscopic spin textures".</p> <p>Data is organized by figure in which it is discussed. Filenames are organized by date/timestamp collected. Figures composed of multiple, separately taken datasets have been uploaded into separate folders, organized by subfigure or other identifier.</p> <p>All datasets are matlab (.m) filetype. Each contains three column vectors; the signal and phase of the FFT of readout, and the time at which the readout was performed.</p>
Data from: Resolving the mesoscopic missing link: biophysical modeling of EEG from cortical columns in primates
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Conductance asymmetries in mesoscopic superconducting devices due to finite bias
<p>Dataset and code for publication "Conductance asymmetries in mesoscopic superconducting devices due to finite bias".</p>
Data from: Impact of uniaxial tensile fatigue on the evolution of microscopic and mesoscopic structure of carbon black filled natural rubber
This investigation addresses the evolution of the microscopic and mesoscopic structures distribution, and micro-defects of carbon black (CB) filled natural rubber (NR) under uniaxial tensile condition during the fatigue process. NR was filled with three different grades CB respectively, in order to understand the impact of the structural degree and specific surface areas of CB and fatigue degree on the Payne effect. It was found that Payne effect was initially suppressed and then enhanced with increasing the degree of fatigue. The decrease of the storage modulus in the low strain area was attributed to the CB network destruction and the breakdown of the matrix cross-linking network in the early fatigue stage. However, with further increasing the degree of fatigue, the spatial rearrangement of CB aggregates with the orientation of molecular chains between adjacent CB aggregates will result in the mechanical reinforcement before the appearance of micro-defects. Moreover, it has been demonstrated that the structural degree of CB has a stronger impact on the mesoscopic structures than the specific surface area of CB during tensile fatigue process.
Data from: Impact of uniaxial tensile fatigue on the evolution of microscopic and mesoscopic structure of carbon black filled natural rubber
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A Systematically Optimized Miniaturized Mesoscope (SOMM) for large-scale calcium imaging in freely moving mice (Deprecated)
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Andreev Processes in Mesoscopic Multi-terminal Graphene Josephson Junctions
<p>Raw data of the main text and supplementary information.</p>
Dataset for "Two electrons interacting at a mesoscopic beam splitter"
<p>Data used to generate figures in the publication "Two electrons interacting at a mesoscopic beam splitter".</p>
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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.