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3,688 results for “Computer”
Videos: Computing on actin bundles network
<p>These are videos of experiments described in the paper </p> <p>Andrew Adamatzky, Florian Huber, Florian HuberJörg Schnauß. Computing on actin bundles network (March, 2019).</p> <p>Abstract </p> <p>Actin filaments are conductive to ionic currents, mechanical and voltage solitons. These travelling localisations can be utilised in making the actin network executing specific computing circuits. The propagation of localisations on a single actin filament is experimentally unfeasible, therefore we propose a `relaxed' version of the computing on actin networks by considering excitation waves propagating on actin bundles. We show that by using an arbitrary arrangement of electrodes it is possible to implement two-inputs-one-output circuits. Frequencies of the Boolean gates' detection in actin network match an overall distribution of gates discovered in living substrates.</p>
Supporting data for: Výpočtová propaganda: konceptuálna diskusia a prehľad (eng. Computational propaganda: a conceptual discussion and review)
<p><em>Supporting data for a Literature Review.</em></p> <p><em>Abstract: Computational propaganda is a relatively new term introduced by P.N. Howard and S. C. Woolley. The term is nowadays being mainly discussed in the context of shaping public opinion during various political events in the United States, the United Kingdom, France, as well as in other countries. This article represents a literature review of computational propaganda using a quantitative research design. In the article we also present the first Slovak definition of computational propaganda as using Information and communication technologies for mass production and mass distribution of misleading information. </em></p>
COMPUTING HUBS IN THE HIPPOCAMPUS AND CORTEX
<p><strong>Neural computation, which relies on the active storage and sharing of information, occurs within large neuron networks in the highly dynamic context of varying brain states. Whether such functions are performed by specific </strong><strong>sub</strong><strong>sets of neurons and whether they occur in specific dynamical regimes remain</strong><strong>s</strong><strong> poorly understood. Using high density recordings in the hippocampus, medial entorhinal and medial prefrontal cortex of the rat, we identify computing </strong><strong>sub</strong><strong>states, or </strong><strong>discrete </strong><strong>epochs, in which specific computing hub neurons perform well defined storage and sharing operations in a brain state-dependent manner. We retrieve a multiplicity of distinct computing </strong><strong>sub</strong><strong>states within each global brain state, such as REM and nonREM sleep. Half of recorded neurons act as computing hubs in at least one </strong><strong>sub</strong><strong>state, suggesting that functional roles are not firmly hardwired but dynamically reassigned at the second timescale. We identify sequences of </strong><strong>sub</strong><strong>states whose temporal organization is dynamic and stands between order and disorder. We propose that global brain states constrain the language of neuronal computations by regulating the syntactic complexity of these </strong><strong>sub</strong><strong>state sequences.</strong></p>
A comparison between SBP-SAT and DG operators for computational aeroacoustics on non-conforming meshes
<p>Contains:</p> <ul> <li>classic SBP operators of global order three, four and five</li> <li>classic DRP SBP operators of global order three, four and five</li> <li>DDRP SBP operator of order four using 32 nodes</li> <li>Projection operators for h- and p-refinement</li> </ul>
Fig. 7 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 7. Setup of scanning containers. Images by HCMR micro-CT lab.
Data for "Fully Implicit Time Stepping can be Efficient on Parallel Computers"
<p>Benchmark data and python plotting programs</p>
Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset
<p><strong>Summary:</strong></p> <p>This dataset contains electroencephalographic (EEG) recordings of 24 subjects doing a visual P300 Brain-Computer Interface experiment on PC. The visual P300 is an event-related potential elicited by visual stimulation, peaking 240-600 ms after stimulus onset. The experiment was designed in order to compare the use of a P300-based brain-computer interface on a PC with and without adaptive calibration using Riemannian geometry. The brain-computer interface is based on electroencephalography (EEG). EEG data were recorded thanks to 16 electrodes. A full description of the experiment is available at <a href="https://hal.archives-ouvertes.fr/hal-02103098">https://hal.archives-ouvertes.fr/hal-02103098</a>. Data were recorded during an experiment taking place in the GIPSA-lab, Grenoble, France, in 2013 (Congedo, 2013). Python code for manipulating the data is available at <a href="https://github.com/plcrodrigues/py.BI.EEG.2013-GIPSA">https://github.com/plcrodrigues/py.BI.EEG.2013-GIPSA</a>. The ID of this dataset is<em> BI.EEG.2013-GIPSA</em>.</p> <p> </p> <p><strong>Full description of the experiment and dataset:</strong> <a href="https://hal.archives-ouvertes.fr/hal-02103098">https://hal.archives-ouvertes.fr/hal-02103098</a></p> <p> </p> <p><strong><em>Principal Investigator</em>:</strong> B.Sc. Erwan Vaineau, Ph.D. Alexandre Barachant</p> <p> </p> <p><strong><em>Technical Supervisors</em>: </strong>Eng. Anton Andreev, Eng. Pedro. L. C. Rodrigues, Eng. Grégoire Cattan</p> <p> </p> <p><strong><em>Scientific Supervisor:</em></strong> Ph.D. Marco Congedo</p> <p> </p> <p><strong>ID of the dataset: </strong><em>BI.EEG.2013-GIPSA</em></p>
A New Approach for Computing the Asymptotes of a Parametric Curve
<p>[This repository contains the source data and the implementation for the manuscript "<strong>A New Approach for Computing the Asymptotes of a Parametric Curve</strong>" published in the Journal of Computational and Applied Mathematics; see Section 4.3]</p> <p> </p> <p>The file "implementation-zenodo-BlascoPerez-v3.mws" contains the last version of the implementation of the algorithm presented in the paper "<strong>A New Approach for Computing the Asymptotes of a Parametric Curve</strong>". Furthermore, the implementations of the algorithms presented in [Asymptotes of Space Curves. Journal of Computational and Applied Mathematics. Volume 278, pp. 231-247. DOI: 10.1016/j.cam.2014.10.013. (2015)] and [Asymptotes and Perfect Curves. Computer Aided Geometric Design. Volume 31, Issue 2, pp. 81-96. (2014)], can be found in this file.</p>
Fig. 2 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 2. Schematic overview of the X-Ray generator.
Computer-aided design of optimal environmentally benign solvent-based adhesive products
<p>The files contain all the product design problems implemented in GAMS for this publication. All models were run on a single core of a dual 8 core Intel(R) Xeon(R) CPU E5-2650 machine at 3.52 GHz with 125GB of memory.</p> <p> </p> <p><strong>Abstract</strong></p> <p>In this work, a general systematic methodology for the design of optimal adhesive products with low environmental impact is presented. The proposed approach integrates computer-aided design tools and Generalised Disjunctive Programming to formulate and solve the product design problem. Key design decisions in product design (number of ingredients, identity of compounds and their proportions) are optimised simultaneously. This methodology is applied to the design of solvent-based acrylic adhesives, which are commonly used in construction. First, optimal product formulations are determined with the aim to minimize toxicity. This reveals that that high performance can be achieved by investigating different number of components as well as by optimising all ingredients simultaneously rather than sequentially. The relation between two competing objectives is then explored by obtaining a set of Pareto optimal solutions. This leads to significant trade-offs and large areas of discontinuity driven by discrete changes in the list of optimal product ingredients.</p>
Performance Analysis of Single Board Computer Clusters
<p>This dataset contains the outputs from HPL runs used to measure performance of 16 nodes clusters built using Raspberry Pi 3 Model B, Raspberry Pi 3 Model B+, and Odroid C2. These clusters were constructed using the Pi Stack PCB which is available from https://doi.org/10.5258/SOTON/D0379.</p>
'No results or wrong' - Methodological Challenges in Computational Literary Studies
<p>4th lecture</p>
Synesthetic: Music for Marimba and Computer-Controlled Lighting
<p>Synesthetic is an artistic project for percussion, electronics, composition, and lighting based in Oslo, Norway. The project aims to develop performative links between stage lighting, marimba and performer motions through software, hardware and composition. These videos are documentation of the initial project development week at NyDans, Oslo, in 2017 which resulted in five sketches exploring different sound/motion/lighting interactions.</p>
X-ray computed tomography reveals that grain protrusion controls entrainment shear stress for entrainment of fluvial gravels: Dataset
<p>This is the dataset that accompanies a paper in Geology:</p> <p>Hodge RA, Voepel H, Leyland J, Sear DA, Ahmed S (2020). X-ray computed tomography reveals that grain protrusion controls entrainment shear stress for entrainment of fluvial gravels. Geology, 48(2), 149-153.</p> <p>The aim of this work was to understand how the properties of a sediment grain in a river bed affect the forces required to entrain that grain. This dataset presents the properties of 1055 sediment grains, which were meaured using CT scanning.</p>
SPAWN data files need for histograms of publication "Exciting determinants in Quantum Monte Carlo: Loading the dice with fast, low memory weights" by Verena A. Neufeld and Alex J. W. Thom (doi.org/10.1021/acs.jctc.8b00844), J. Chem. Theory Comput., 15,1, 127-140, 2019,
<p>SPAWN data files need for histograms of publication "Exciting determinants in Quantum Monte Carlo: Loading the dice with fast, low memory weights" by Verena A. Neufeld and Alex J. W. Thom (doi.org/10.1021/acs.jctc.8b00844), J. Chem. Theory Comput., 15,1, 127-140, 2019. This compliments the data set at doi: 10.17863/CAM.30358 (copy these SPAWN files here into relevant folder at histograms_toc_figs_1_2/H2O_3_ccpVDZ/).</p>
Computational model results for "Uncertainties of Glacial Isostatic Adjustment model predictions in North America associated with 3D structure"
<p>The mean GIA signals of RSL, u-dot and g-dot with 1σ, 2σ and 3σ uncertainties in North America. </p>
Datasets, figures and simulation scripts for "Quantum circuit compilation with quantum computers"
<p>The files contain the datasets and figures with the results of the manuscript "<a title="Quantum circuit compilation with quantum computers" href="https://doi.org/10.48550/arXiv.2408.00077" target="_blank" rel="noopener">Quantum circuit compilation with quantum computers</a>".</p> <p>The repository URL links to the repository with the simulation scripts used to produce the datasets and figures.</p>
Fig. 8 in A giant boring in a Silurian stromatoporoid analysed by computer tomography
Fig. 8. Idealised schematic drawing of Osprioneides kampto Beuck and Wisshak, igen. et isp. nov.
Computational Metabolomics - database files for raw data processing
<p>These files are used by an R-script that process LCMS data files in a project directory to detect peaks, make the aligned peak table and annotate peaks with molecular formulas. The workflow is optimized for human blood samples (n > 100). </p>
Computer Vision-Based Image Analysis
<p>Computer Vision-Based Image Analysis Tool is an innovative tool analysing the colour change of the foods in the fridge to correlate this information to the food loss and waste at household level. This tool deals with colour measurement from the 2D image of 3D fresh fruit and vegetable. The system takes the pictures of the selected fruit or vegetable, analyses the image and detects the colour-based deterioration, if any. The deterioration is calculated as area percentage. Finally, this information is correlated to the weight of these fruits or vegetables. This technology will also be adapted to the meat supply chain to evaluate the meat quality according to their colour for further processing.</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.