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65		-=== Summary (In this tutorial, you have learned to do X…) ===
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	67	+**Slide** recap of learning objectives
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69		-=== Acknowledgements if appropriate ===
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73		-=== References to websites (For more information, visit us at…) ===
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77		-=== Contact information (For questions, contact us at…) ===
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84		-~*~*Slide~*~* recap of learning objectives
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88	88	That is the end of this tutorial, in which I've demonstrated how to install PyNN, and other required simulators, in a Linux system. You are now ready to start modeling! To learn about model development in PyNN, do take a look at our next tutorial.
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91	91	Als,  we will be releasing a series of tutorials, throughout the rest of 2021 and 2022, to introduce these more advanced features of PyNN, so keep an eye on the EBRAINS website.
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	76	+**Slide** acknowledgements, contact information
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101	101	PyNN has been developed by many different people, with financial support from several different organisations. I'd like to mention in particular the CNRS and the European Commission, through the FACETS, BrainScaleS and Human Brain Project grants.
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104	104	For more information visit neuralensemble.org/PyNN. If you have questions you can contact us through the PyNN Github project, the NeuralEnsemble forum, EBRAINS support, or the EBRAINS Community.