I am happy that our article on “The temporal paradox of Hebbian learning and homeostatic plasticity” was just published in Current Opinion in Neurobiology (full text). This article essentially concisely presents the main arguments forContinue reading
Role of complex synapses in continual learning
Excited that our preprint “Improved multitask learning through synaptic intelligence” just went life on the arXiv (https://arxiv.org/abs/1703.04200). This article, by Ben Poole, Surya and myself, illustrates the benefits of complex synaptic dynamics on continual learningContinue reading
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 inContinue reading
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 atContinue reading
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
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
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
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
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
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