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URL: http://neuronalarchitects.com/index.html
Proper Citation: Neural Maestro (RRID:SCR_001563)
Description: THIS RESOURCE IS NO LONGER IN SERVICE, documented August 17, 2016. A C#.NET/C++.NET 4.0 API multi-threaded, parallel class library with CUDA kernels for EEG predictive analytics gleaned from the ModelMaker 2 application. This web service and component library offers functionality to do univariate and multivariate nonlinear time series and frequency based predictive analysis for EEG / Ecog / MEG signals for gaming applications. Neural Maestro works with both EEGLab / BCILab and eConnectome as well as other MATLAB and R packages. It enables one to build highly sophisticated neuroscience applications with little effort in Windows applications.
Abbreviations: Neural Maestro
Resource Type: data access protocol, software application, software library, software resource, software toolkit, web service
Keywords: univariate, multivariate, nonlinear time series, time series, frequency, predictive analysis, eeg, ecog, meg, gaming application, neuroscience, computer gaming, modeling, forecasting, matlab, r, artificial intelligence, analytics, neural assessment
Availability: THIS RESOURCE IS NO LONGER IN SERVICE
Resource Name: Neural Maestro
Resource ID: SCR_001563
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
