Search Results for "dynamic process simulation"
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Showing 6 open source projects for "dynamic process simulation"
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XNBC: neurobiology simulation tool
XNBC is a graphic application to simulate biologic neural networks.
XNBC is a full featured application for computer naive neuroscientists. It simulates biological neural networks using graphic tools to edit neurons and networks, to run the simulation and to analyze results. Written in C, it runs on Unix and Windows. Web site : http://ticemed-sa.upmc.fr/xnbc/ All recent versions are on this site. -
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mcompartments
A Matlab/GNU Octave package for dynamic box models
A Matlab/GNU Octave package for dynamic box models with any number of species and compartments. Box models are useful to study the dynamics of chemicals within systems that can be described by different compartments (e.g. environmental systems). -
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PhEq_bootstrap
FDA's f2 computation with bootstrap technique
This program was developed as a help in establishing pharmaceutical equivalence by use of FDA f2 coefficient. It was designed to help with f2 computation in cases when intra- and inter-batch variability is large, namely RSD>10%. The use of statistical bootstrap technique allows to implement confidence interval (CI) into the f2 coefficients resulting in overcoming of their major drawback in the original metrics. The algorithm provides possible “worst case scenario” of f2 values, thus... -
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OpenCMISS-Zinc
A Library for Interactive Modelling and Visualisation
The OpenCMISS-Zinc Library (opencmiss.org/zinc), or Zinc, is a software library for building interactive graphical modelling and visualisation applications. Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image... -
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A sleep research experiment manager, EDF (EEG, EMG etc) with power spectrum analysis and visualisation, and Process S ('sleep pressure') estimation following Achermann et al (1993).
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Our goal is to create an open source framework and toolset for modeling dynamic cellular network functions, and to develop a user community committed to using, extending and exploiting these tools to further our knowledge of biologic processes.
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