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Computational Neuroscience at the FMI

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January 10, 2017 fzenkeweb

Towards a post-journal world

I just enjoyed reading Romain Brette’s post about how to move towards a better scientific publication system. Maybe you will find it interesting too. My new year resolution : to help move science to the post-journalContinue reading

December 22, 2016 fzenkeNews

Auryn v0.8.0 stable released

The stable Auryn version 0.8 is available now. The new version comes with extensive refactoring under the hood an now supports complex synapse models and improved vectorization for neuron models. The new version is availableContinue reading

July 31, 2016 fzenkeNews

What’s new in Auryn v0.8.0-alpha?

Last week I put up a release branch for Auryn v0.8 which is currently in alpha stage. The code can be found here https://github.com/fzenke/auryn/releases The main perks: Further increase of performance. Class-based state vectors for neuronalContinue reading

April 13, 2016 fzenkeNews

Poster in London

I will have a poster at the Discussion Meeting “Integrating Hebbian and homeostatic plasticity” in London next week April 19–20, 2016 I am happy about the opportunity to present a poster which summarizes the keyContinue reading

April 4, 2016 fzenkeNews

Writing neuron models in Auryn …

… just got a lot easier with the new AurynVector class. Because Auryn originally used GSL vectors (which predates C++) it was still using non object oriented syntax for vector data types internally. That madeContinue reading

January 7, 2016 fzenkeNews

Auryn v0.7 released

The new stable Auryn version is now online After a couple of months of testing, Auryn 0.7.0 is now available for download. The new version now finally uses cmake throughout and can thus be builtContinue reading

November 18, 2015 fzenkeNews, publications

Editorial published

This concludes our Special Issue in Frontiers Computational Neuroscience Cristina, Matt and me are happy to successfully conclude the Frontiers Research Topic that we have organized over the past year. I would like to expressContinue reading

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