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13 | 13 | | [**Documentation**](#documentation) |
14 | 14 | | [**Usage Example**](#usage-example) |
15 | 15 | | [**Installation**](#installation) |
16 | | -| [**Citation**](#citation) |
17 | 16 | | [**Developer Installation**](#developer-installation) |
| 17 | +| [**Contributing**](#contributing) |
| 18 | +| [**License**](#license) |
| 19 | +| [**Citation**](#citation) |
18 | 20 |
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19 | 21 | ## What is spectral_connectivity? |
20 | 22 |
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@@ -66,12 +68,6 @@ See the documentation on [ReadTheDocs](https://spectral-connectivity.readthedocs |
66 | 68 |
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67 | 69 | For a canonical reference of connectivity metric value ranges, see [Connectivity Metric Ranges](docs/CONNECTIVITY_METRIC_RANGES.md). |
68 | 70 |
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69 | | -### Citation |
70 | | - |
71 | | -For citation, please use the following: |
72 | | - |
73 | | -> Denovellis, E.L., Myroshnychenko, M., Sarmashghi, M., and Stephen, E.P. (2022). Spectral Connectivity: a python package for computing multitaper spectral estimates and frequency-domain brain connectivity measures on the CPU and GPU. JOSS 7, 4840. [10.21105/joss.04840](https://doi.org/10.21105/joss.04840). |
74 | | -
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75 | 71 | ### Implemented Measures |
76 | 72 |
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77 | 73 | Functional |
@@ -129,7 +125,7 @@ If you want to make contributions to this library, please use this installation. |
129 | 125 | 1. Install miniconda (or anaconda) if it isn't already installed. Type into bash (or install from the anaconda website): |
130 | 126 |
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131 | 127 | ```bash |
132 | | -wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh; |
| 128 | +wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh; |
133 | 129 | bash miniconda.sh -b -p $HOME/miniconda |
134 | 130 | export PATH="$HOME/miniconda/bin:$PATH" |
135 | 131 | hash -r |
@@ -166,6 +162,27 @@ twine upload dist/* |
166 | 162 |
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167 | 163 | The version number is automatically extracted from the git tag (without the 'v' prefix). |
168 | 164 |
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| 165 | +## Contributing |
| 166 | + |
| 167 | +We welcome contributions to `spectral_connectivity`! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details on: |
| 168 | + |
| 169 | ++ How to report bugs and request features |
| 170 | ++ Development workflow and coding standards |
| 171 | ++ Testing requirements |
| 172 | ++ Code review process |
| 173 | + |
| 174 | +For questions or discussions, please open an issue on GitHub. |
| 175 | + |
| 176 | +## License |
| 177 | + |
| 178 | +This project is licensed under the **GPL-3.0** License - see the [LICENSE](LICENSE) file for details. |
| 179 | + |
| 180 | +## Citation |
| 181 | + |
| 182 | +For citation, please use the following: |
| 183 | + |
| 184 | +> Denovellis, E.L., Myroshnychenko, M., Sarmashghi, M., and Stephen, E.P. (2022). Spectral Connectivity: a python package for computing multitaper spectral estimates and frequency-domain brain connectivity measures on the CPU and GPU. JOSS 7, 4840. [10.21105/joss.04840](https://doi.org/10.21105/joss.04840). |
| 185 | +
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169 | 186 | ### Recent publications and pre-prints that used this software |
170 | 187 |
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171 | 188 | + Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality <https://doi.org/10.1007/978-3-662-58485-9_11> |
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