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Friedemann Zenke

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

 

News

  • 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 »
  • Kris and Claire present exciting excitation-inhibition work at the Bernstein conferenceKris and Claire present exciting excitation-inhibition work at the Bernstein conference
    Both Claire and Kris will present virtual posters about their modeling work in the olfactory system. If you are interested in learning more about what precise EI balance and transient attractor states have to doContinue reading Read more »
  • Hiring: Information processing in spiking neural networksHiring: 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 Read more »