The Zenke Lab

We conduct theoretical research on how neural networks learn and compute. To that end, we work at the interface of computational neuroscience and machine learning. Our group is based at the FMI in Basel, Switzerland.

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 »
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