Friedemann Zenke

Computational neuroscientist at the FMI in Basel (zenkelab.org). Main interests: Learning, memory, and information processing in  biologically inspired (spiking) neural networks.



  • The lab at CoSyNe 2021The lab at CoSyNe 2021
    The lab selfie at Cosyne 2021 clearly looks different than we would have imagined a year ago. Read more »
  • Publication: Visualizing a joint future of neuroscience and neuromorphic engineeringPublication: Visualizing a joint future of neuroscience and neuromorphic engineering
    Happy to share this report summarizing the key contributions, discussion outcomes, and future research directions as presented at the spiking neural networks as universal function approximators meeting SNUFA2020. Paper: https://www.cell.com/neuron/fulltext/S0896-6273(21)00009-XAuthor link: https://authors.elsevier.com/a/1cbg3_KOmxI%7E6f Read more »
  • Paper: Brain-Inspired Learning on Neuromorphic SubstratesPaper: Brain-Inspired Learning on Neuromorphic Substrates
    I’m happy to share our new overview paper (https://ieeexplore.ieee.org/document/9317744, preprint: 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,Continue reading Read more »