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Brian tutorial at CNS 2013

Advanced modelling of spiking neural networks with Brian

Tutorial at CNS 2013, Paris (July 13th 2013)
The tutorial took place in the “Éspace Curie” at the 4th floor of the University Paris Descartes, 45 Rue des Saints-Pères (map of the building).

Material

The material is in a github repository: https://github.com/brian-team/brian-material
You can clone the repository using git, but you can also download all the material in a single ZIP file.

Some of the folders include examples in the form of ipython notebooks (.ipynb files). More information on the ipython notebook can be found at the ipython website — if you have a recent version of ipython, you also have the notebook, try starting it with:

ipython notebook --pylab=inline

Alternatively, you can view (but not edit) the notebooks using the ipython notebook viewer. To see the notebooks from the tutorial, use the following links:

Schedule

Time

Topic (Presenter)

9.00 – 9.15

General introduction – overview over topics, introducing the Brian team

9.15 – 9.50

Synapses class (Romain Brette)

9.55 – 10.30

Model fitting toolbox (Cyrille Rossant)

Coffee break

10.45 – 11.20

Multicompartmental modeling (Romain Brette)

11.25 – 12.00

Brian hears toolbox (Bertrand Fontaine)

Lunch break

13.30 – 14.25

“Best practice” for complex simulations (Saving data, parallel execution, …) and general advanced features (efficiency, code generation) (Dan Goodman)

Coffee break

14.40 – 15.05

Brian 2 (Marcel Stimberg)

15.10 – 15.35

How to contribute to Brian: Development, documentation, testing (Marcel Stimberg)

15.40 – 16.30

Question/answer session, “bring your code”, ask individual questions (Brian team)