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@@ -14,15 +14,17 @@ This notebook was developed as part of [Google Summer of Code 2022 by Rahul Sonk
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- Go to [Open Source Brain v2](https://v2.opensourcebrain.org) and [register for a new account](https://docs.opensourcebrain.org/OSBv2/Guided_tour.html#register-sign-in-to-osbv2) and log in.
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- Go to the Hodgkin Huxley model repository page at https://v2.opensourcebrain.org/repositories/33.
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- Click on **Create a new Workspace**.
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- Click on **New workspace from selection** (blue button).
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- When this has been created, go to the new workspace page and click on **Open with JupyterLab**.
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- This opens a copy of all the files in the repository in [JupyterLab](https://docs.opensourcebrain.org/OSBv2/JupyterLab.html#osbv2-applications-jupyterlab).
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- In the left had file browser navigate to the folder `Hodgkin Huxley Tutorials/master/notebooks/Python_HH_version` and double click on `Python_Notebook_HH.ipynb` to open the notebook.
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- You should be able to run the interactive widget by click the double arrow (▶▶) in the JupyterLab toolbar at the top of the notebook.
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- You should be able to run the interactive widget by click the double arrow (▶▶) in the JupyterLab toolbar at the top of the notebook.
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- Note: the lighter version of the JupyterLab interface shown above can be accessed in the menu: `Settings -> Theme -> JupyterLab Light`.
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### Option 2) Using Binder
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*Advantage: quick to start & run, no login required*
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The notebook can also be opened using [Binder](https://mybinder.org/). Click here to open the HH notebook: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openworm/hodgkin_huxley_tutorial/master?labpath=notebooks%2FPython_HH_version%2FPython_Notebook_HH.ipynb)
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- The notebook can also be opened using [Binder](https://mybinder.org/). Click here to open the HH notebook: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openworm/hodgkin_huxley_tutorial/master?labpath=notebooks%2FPython_HH_version%2FPython_Notebook_HH.ipynb)
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- You should be able to run the interactive widget by click the double arrow (▶▶) in the JupyterLab toolbar at the top of the notebook.

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