“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
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
A range of exciting developments around surrogate gradient methods has put researchers in the position to build sophisticated functional spiking neural networks that compute specific functions. A major hurdle to further accelerate this line ofContinue reading
Symposium: Event-based Asynchronous Neuro-Cognitive Control
On Wednesday August 28th 2019 Friedemann will give a talk at the “Event-based Asynchronous Neuro-Cognitive Control” Symposium in Amsterdam which is kindly organized by Sander Bohte, Aditya Gilra, Qinghai Guo, and J. Camilo Vasquez Tieck.Continue reading
Hiring: Cortical models of predictive processing and learning
We are looking for an intrepid Ph.D. candidate to work on theoretical models of predictive processing and learning. This collaborative project with the Keller Lab is based on the hypothesis that cortical circuits build modelsContinue reading
Cosyne 2019
Happy times and discussions about systems neuroscience at the beach where future members of the Zenke Lab met with FMI’s Friedrich Lab delegation in Portugal.