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Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...

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Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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Published on: December 13, 2016

Simulation Platform: a cloud-based online simulation environment.

Tadashi Yamazaki1, Hidetoshi Ikeno, Yoshihiro Okumura

  • 1RIKEN BSI-TOYOTA Collaboration Center, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.

Neural Networks : the Official Journal of the International Neural Network Society
|July 12, 2011
PubMed
Summary

This study introduces Simulation Platform, a cloud service simplifying multi-scale neural modeling by enabling seamless online simulation and validation of diverse neural models without software installation.

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Bioinformatics

Background:

  • Handling multiple neural models across different scales and modalities presents significant challenges.
  • Existing neuroinformatics databases primarily archive model files, lacking integrated validation capabilities.
  • Seamless downloading and management of complex neural models are crucial for advancing research.

Purpose of the Study:

  • To develop a cloud-based web service,

Main Methods:

  • A cloud-based platform providing virtual machines with pre-installed neural simulators (GENESIS, NEURON, NEST) and scientific software.
  • Users access and run simulations remotely via a web browser on assigned virtual machines.
  • Eliminates the need for local software installation, simplifying model handling.

Main Results:

  • The Simulation Platform facilitates effortless handling of multiple neural models.
  • Users can perform online simulations and validate models before downloading.
  • Reduces technical barriers associated with diverse software requirements for neural modeling.

Conclusions:

  • The Simulation Platform streamlines multi-scale and multi-modal neural modeling.
  • It enhances accessibility and efficiency in neuroscientific research by simplifying model management and simulation.
  • Cloud-based solutions are vital for the future of neuroinformatics and collaborative research.