Computational neuroscientist and junior group leader at the FMI in Basel, Switzerland. Main interest in learning, memory, and information processing in biological spiking neural networks.
|2014||PhD, School of Computer and Communication Sciences, EPF Lausanne, Switzerland|
|2009||Diplom in Physics, Helmholtz-Institute for Radiation- and Nuclear Physics, University of Bonn, Germany|
|2006||Physics, Exchange Program, Australian National University, Canberra, Australia|
|2019-present||Junior Group Leader, Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland|
|2017-2019||Sir Henry Wellcome Postdoctoral Fellow, University of Oxford, UK|
|2015-2017||Postdoctoral Fellow, Stanford University, USA|
Short bio text
Friedemann Zenke studied physics at the University of Bonn, Germany, and the Australian National University in Canberra, Australia, initially focusing on experimental hadron physics. He then shifted to computational neuroscience for his Ph.D. with Wulfram Gerstner at the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, where he worked on the theory of synaptic and homeostatic plasticity in spiking neural networks. Subsequently, Friedemann joined Surya Ganguli’s group at Stanford as a post-doc to study the role of complex synaptic dynamics as a remedy for catastrophic memory interference in deep neural networks. Later he moved to the University of Oxford as a Sir Henry Wellcome fellow to work in Tim Vogels’ group. During this time, he further developed functionally inspired learning rules for spiking neural networks. In 2019 Friedemann started his research group at the Friedrich Miescher Institute for Biomedical Research (FMI) in Basel, Switzerland. His group continues to tackle theoretical questions related to learning and memory in biologically inspired neural networks.
For a number of reasons, I have recently set up a new OpenPGP key,
and will be transitioning away from my old one.
My new OpenPGP key is
pub rsa3072 2018-12-06 [SC] [expires: 2023-10-22] 5C684BF762CAE776BE79DA39825D71CAFBAABB88 Key fingerprint = 5C68 4BF7 62CA E776 BE79 DA39 825D 71CA FBAA BB88
Download public key Friedemann Zenke firstname.lastname@example.org (0x825D71CAFBAABB88) pub.asc.zip
And the old key was
pub dsa1024 2007-06-28 [SCA] [expires: 2019-12-06] 975EFCFAF276CA674FBBA2B6A915FE5D32FD331D Key fingerprint = 975E FCFA F276 CA67 4FBB A2B6 A915 FE5D 32FD 331D
If you already know my old key, you can now verify that the new key is
signed by the old one:
gpg --check-sigs '5C684BF762CAE776BE79DA39825D71CAFBAABB88'
Please let me know if you have any problems.