This software provides tools for analyzing, visualizing, and managing both real and simulated neuroscience data. Its features allow for deep exploration of complex data sets, making it an ideal tool for neuroscience research.
NeuroTools is an incredible collection of tools that can support a variety of neural simulation projects. This software is not a neural simulator, but it is focused on addressing all the tasks that are typically not handled by the simulation engine. This software is written using the Python programming language, and it works best with PyNN and other simulation engines with a Python front-end such as NEST, NEURON, PCSIM, FACETS Neuromorphic VLSI, Brian, MOOSE/GENESIS, Neurospaces/GENESIS.
One of the primary purposes of NeuroTools is to provide users with access to several modules that can help facilitate simulation setup, parameterization, data management, analysis, and visualization. Although these data-related tools are great for analyzing experimental data, that is not their only purpose.
NeuroTools has been designed to increase the productivity of modellers by automating, simplifying, and establishing best-practices for performing common tasks. Moreover, NeuroTools aims to improve the productivity of the entire neuroscience modelling community by reducing the amount of code duplication across simulation communities while increasing the reliability of data analysis tools. This is performed by leveraging Linus's law: "given enough eyeballs, all bugs are shallow."
In conclusion, if you're looking for an exceptional software that can help you with your neural simulation projects, NeuroTools is an excellent choice. It's user-friendly, easy to use, and can ultimately help you get the job done quickly and efficiently.
One of the primary purposes of NeuroTools is to provide users with access to several modules that can help facilitate simulation setup, parameterization, data management, analysis, and visualization. Although these data-related tools are great for analyzing experimental data, that is not their only purpose.
NeuroTools has been designed to increase the productivity of modellers by automating, simplifying, and establishing best-practices for performing common tasks. Moreover, NeuroTools aims to improve the productivity of the entire neuroscience modelling community by reducing the amount of code duplication across simulation communities while increasing the reliability of data analysis tools. This is performed by leveraging Linus's law: "given enough eyeballs, all bugs are shallow."
In conclusion, if you're looking for an exceptional software that can help you with your neural simulation projects, NeuroTools is an excellent choice. It's user-friendly, easy to use, and can ultimately help you get the job done quickly and efficiently.
What's New
Version 0.1.0: N/A