“Bringing the Power of Gradient-based optimization to spiking neural networks” We are happy to announce that our tutorial paper on Surrogate Gradient Learning in spiking neural networks now appeared in the IEEE Signal Processing Magazine.Continue reading
Category: publications
Perspective: A deep learning framework for neuroscience
Our perspective paper on how systems neuroscience can benefit from deep learning was published today. In work led by Blake Richards, Tim Lillicrap, and Konrad Kording, we argue that focusing on the three core elements usedContinue reading
Preprint: The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
Update (2020-12-30) Now published: Cramer, B., Stradmann, Y., Schemmel, J., and Zenke, F. (2020). The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning SystemsContinue reading
SuperSpike: Supervised learning in spiking neural networks — paper and code published
I am happy to announce that the SuperSpike paper and code are finally published. Here is an example of a network with one hidden layer which is learning to produce a Radcliffe Camera spike trainContinue reading
Supervised learning in multi-layer spiking neural networks
We just put a conference paper version of “SuperSpike”, our work on supervised learning in multi-layer spiking neural networks to the arXiv https://arxiv.org/abs/1705.11146. As always I am keen to get your feedback.
The temporal paradox of Hebbian learning and homeostatic plasticity
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
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
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