I’m happy to share our new overview paper (arxiv.org/abs/2010.11931) on brain-inspired learning on neuromorphic substrates in (spiking) recurrent neural networks. We systematically analyze how the combination of Real-Time-Recurrent Learning (RTRL; Williams and Zipser, (1989)) withContinue reading
Tag: neuromorphic
Hiring: Information processing in spiking neural networks
We are looking for Ph.D. students to work on the computational principles of information processing in spiking neural networks. The project strives to understand computation in the sparse spiking and sparse connectivity regime, in whichContinue reading
Preprint: Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate
We are happy to share our new preprint “Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate” (https://arxiv.org/abs/2006.07239). This work led by Benjamin Cramer and Sebastian Billaudelle and is a joint effortContinue reading