Friedemann studied physics at the Rheinische Friedrich Wilhelms University in 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 in the laboratory 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. Recently, Friedemann joined the Vogels lab at the University of Oxford, UK as a Sir Henry Wellcome fellow. He continues to work on theoretical questions pertaining to learning and memory formation in neural networks.
- Auryn simulator