Friedemann studied physics at the University of Bonn, Germany and at the Australian National University in Canberra, Australia. He received his PhD in computer science from Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland where he worked under the direction of Wulfram Gerstner on the interaction of synaptic and homeostatic plasticity in spiking neural network models. He then joined the laboratory of Surya Ganguli at Stanford University as a postdoctoral fellow to study the role of complex synaptic dynamics as a remedy for catastrophic memory interference in continually learning deep neural networks. Presently, he is a Sir Henry Wellcome post-doctoral fellow in Tim Vogels’ lab at the University of Oxford, UK where he continues to work on questions pertaining to learning and memory formation in neural networks. In June 2019 Friedemann will launch his own group at the FMI in Basel, Switzerland.
- Auryn simulator