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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

  • SNUFA 2021 Talk recordingsSNUFA 2021 Talk recordings
    Very glad that we had such a delightful SNUFA 2021 meeting. Thanks again to all our speakers and poster presenters. Big thanks also to my co-organizer Dan Goodman and our executive committee Sander Bohte andContinue reading Read more »
  • Announcing the SNUFA 2021 workshopAnnouncing the SNUFA 2021 workshop
    I am stoked about our second edition of our successful SNUFA workshop on “spiking neural networks as universal function approximators,” on 2-3 November 2021 (we shifted from the original date a week later to avoidContinue reading Read more »
  • Nonlinear transient amplification in recurrent neural networks with short-term plasticityNonlinear transient amplification in recurrent neural networks with short-term plasticity
    I am pleased to share our new preprint: “Nonlinear transient amplification in recurrent neural networks with short-term plasticity” led by Yue Kris Wu in which we study possible mechanisms for transient Hebbian amplification.https://biorxiv.org/cgi/content/short/2021.06.09.447718v1 Hebbian assembliesContinue reading Read more »