Category: news

Upcoming talk at COSYNE workshop “Learning in multi-layer spiking neural networks”

I am very much looking forward to presenting some recent work with Surya on learning in spiking neural networks at the CoSyNe workshop “Deep learning” and the brain (6.20–6.50p on Monday, 27 February 2017 in “Wasatch”). In my talk I

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Special Issue: “Integrating Hebbian and Homeostatic plasticity”

I recommend taking a look at the special issue  on ‘Integrating Hebbian and Homeostatic plasticity’ which was just published in Phil Trans of the Royal Society B. You can find the table of contents at The issue is based

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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 available on github

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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 The main perks: Further increase of performance. Class-based state vectors for neuronal and synaptic states for ease

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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 key insights I gained during my

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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 made writing code for new neuron

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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 built on Windows PCs and Macs

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