Software for data-analysis
The following tools are among the software currently available in NeuroFedora:
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A fully automated high-quality brain tetrahedral mesh generation toolbox. |
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A fast implementation of the edit distance (Levenshtein distance) in Python. |
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Electrophys Feature Extraction Library. |
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A package for analysis of electrophysiology data in Python. |
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A medical-image based 3-D mesh generation and analysis toolkit. |
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A 3-D Monte Carlo photon transport simulation toolbox. |
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Python package for multi-electrode array (MEA) handling and stimulation. |
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A 3-D mesh-based Monte Carlo photon transport simulator. |
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Magnetoencephalography (MEG) and Electroencephalography (EEG) data analysis. |
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A Python package to analyze and simulate neural time series, using digital signal processing. |
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Large-scale synthesis of functional neuroimaging data. |
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Timeseries analysis for neuroscience data. |
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A C++ package for solving the forward problems of electroencephalography (EEG) and magnetoencephalography (MEG). |
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Statistical package in Python based on Pandas. |
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A library for analysis of electrophysiological data. |
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A Python package for working with NWB files. |
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Sensitivity Analysis Library. |
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A fast and scalable solution for spike sorting of large-scale extracellular recordings. |
Software that is in the queue for inclusion is listed here.