Implementiation of Spreizer_et_al_2019: an anisotropic network

[arashgmn]

Reproduction of Fig. 2 (b and c) of Spreizer et al. 2019 in Brian:

Spreizer S, Aertsen A, Kumar A. From space to time: Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks. PLOS Computational Biology. 2019;15(10):e1007432. doi:10.1371/journal.pcbi.1007432

Requirements:

• Brian
• numpy
• matplotlib
• noise: For setting up the Perlin landscape.

Happy new year and merry Christmas!

[mstimberg]

Hi @arashgmn, many thanks for this contribution! I'll need a bit of time to look through it in detail and figure out the best way to integrate the generated figures, but it should be a very nice addition to our docs 🙏

[mstimberg]

Thanks again for the contribution and apologies that it took me ages to actually look into this in detail. I spent an unreasonable amount of time to get this to be more similar to the figure from the original paper. But of course, thanks to your animation, it is much better than the original plot now 😄

Here's what it looks like now:

Are you happy with my code changes and the new figure? Apologies for the re-formatting, it makes the changes harder to see. I realized too late that my editor was configured to run the black formatter over everything. I also tok the liberty to copy the pre-generated noise files directly here, this should make it easier for anyone using the files.

[arashgmn]

Hi @mstimberg,
Thanks for taking care of the plots! They look amazing and I'm totally happy with the changes :)

[arashgmn]

All seem good to me!

[mstimberg]

Good to go 🎉
Thanks again!

[mstimberg]

It's online now: https://brian2.readthedocs.io/en/latest/examples/frompapers.Spreizer_et_al_2019.Spreizer_et_al_2019.html

(currently only in the "latest" version of the documentation, it will appear in the default "stable" version with the next release).