Last modified by adavison on 2022/10/04 13:55
From version 14.1
edited by adavison
on 2021/09/30 15:27
Change comment: There is no comment for this version
To version 13.2
edited by adavison
on 2021/09/30 14:31
Change comment: There is no comment for this version

Summary

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406 406  (% class="wikigeneratedid" %)
407 407  As you would hope, NEST and NEURON give essentially identical results.
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410 -(((
411 -**Slide** recap of learning objectives
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410 +(% class="small" %)**Summary (In this tutorial, you have learned to do X…)**
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414 -That is the end of this tutorial, in which I've demonstrated how to build a simple network using PyNN, and to simulate it using two different simulators, NEST and NEURON.
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416 -Of course, PyNN allows you to create much more complex networks than this, with more realistic neuron models, synaptic plasticity, spatial structure, and so on. You can also use other simulators, such as Brian or SpiNNaker, and you can run simulations in parallel on clusters or supercomputers.
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415 +(% class="small" %)**Acknowledgements if appropriate**
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418 -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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421 -(((
422 -**Slide** acknowledgements, contact information
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420 +(% class="small" %)**References to websites (For more information, visit us at…)**
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426 -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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429 -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.
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425 +(% class="small" %)**Contact information (For questions, contact us at…)**
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