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Copy file name to clipboardExpand all lines: README.md
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@@ -25,7 +25,6 @@ Rastermap runs in python 3.8+ and has a graphical user interface (GUI) for runni
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*[rastermap_interactive.ipynb](notebooks/rastermap_interactive.ipynb)[](https://colab.research.google.com/github/MouseLand/rastermap/blob/main/notebooks/rastermap_interactive.ipynb) allows running Rastermap in an interactive way without a local installation
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*[tutorial.ipynb](notebooks/tutorial.ipynb)[](https://colab.research.google.com/github/MouseLand/rastermap/blob/main/notebooks/tutorial.ipynb) is a guided tutorial for integrating rastermap and facemap to visualize behavioral representations. See the student/teacher versions [here](https://github.com/MouseLand/course-materials/tree/main/behavior_encoding).
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All demo data available [here](https://osf.io/xn4cm/).
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Here is what the output looks like for a segment of a mesoscope recording in a mouse during spontaneous activity (3.2Hz sampling rate), compared to random neural sorting:
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### System requirements
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Linux, Windows and Mac OS are supported for running the code. For running the graphical interface you will need a Mac OS later than Yosemite. At least 8GB of RAM is recommended to run the software. 16GB-32GB may be required for larger datasets. The software has been heavily tested on Windows 10 and Ubuntu 20.04 and less well-tested on Mac OS. Please open an [issue](https://github.com/MouseLand/rastermap/issues) if you have problems with installation.
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Linux, Windows and Mac OS are supported for running the code. For running the graphical interface in Mac, you will need a Mac OS later than Yosemite. At least 8GB of RAM is recommended to run the software. 16GB-32GB may be required for larger datasets. The software has been heavily tested on Windows 10 and Ubuntu 20.04 and less well-tested on Mac OS. Please open an [issue](https://github.com/MouseLand/rastermap/issues) if you have problems with installation.
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