SDinSlice | scale model of spreading depolarization

by suny-downstate-medical-center Python Version: Current License: No License

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kandi X-RAY | SDinSlice Summary

SDinSlice is a Python library. SDinSlice has no bugs, it has no vulnerabilities and it has low support. However SDinSlice build file is not available. You can download it from GitHub.

A tissue-scale model of spreading depolarization (SD) in brain slices. We used the NEURON simulator's reaction-diffusion framework to implement embed thousands of neurons (based on the the model from Wei et al. 2014) in the extracellular space of a brain slice, which is itself embedded in an bath solution. We initiate SD in the slice by elevating extracellular K+ in a spherical region at the center of the slice. Effects of hypoxia and propionate on the slice were modeled by appropriate changes to the volume fraction and tortuosity of the extracellular space and oxygen/chloride concentrations. Users need to install NEURON, and we recommend using MPI to parallelize simulations.

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SDinSlice has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

SDinSlice has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SDinSlice is current.

Quality

SDinSlice has no bugs reported.

Security

SDinSlice has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

SDinSlice does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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SDinSlice releases are not available. You will need to build from source code and install.

SDinSlice has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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SDinSlice Key Features

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SDinSlice Examples and Code Snippets

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Install SDinSlice

You can download it from GitHub.
You can use SDinSlice like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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