Congratulations to Tengjun, Julia, and Julian for being awarded the Ruth Chiquet Prize! The award recognizes their work on using spiking neural networks to decode brain signals. “The committee was impressed by the elegance ofContinue reading
Category: fmi
High school students build neuronal circuits
At the annual Tage der Genforschung event, the FMI opens its doors to interested high school students from the neighboring cities. This year team members from our group showed the students how to build simpleContinue reading
Preprint: The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks
We just put up a new preprint https://www.biorxiv.org/content/10.1101/2020.06.29.176925v1 in which we take a careful look at what makes surrogate gradients work. Spiking neural networks are notoriously hard to train using gradient-based methods due to theirContinue reading
Computational neuroscience at the FMI (now hiring)
I am very excited to start my research group at the FMI in Basel, Switzerland in June 2019. My group will conduct research on learning and memory at the intersection of computational neuroscience and machineContinue reading