Sir Henry Wellcome post-doctoral fellow
I am a post-doctoral researcher in computational neuroscience. I am currently based at the Centre for Neural Circuits and Behavior in the Vogels Lab where I study the principles that underlie information processing, learning, and memory in biological neural networks. To tackle these questions, I employ a range of techniques from dynamical systems and machine learning combined with large-scale spiking network simulations.
Specific synaptic input strengths determine the computational properties of excitation-inhibition integration in a sound localization circuit.
Gjoni E. et al, (2018), J Physiol, 596, 4945 - 4967
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.
Zenke F. and Ganguli S., (2018), Neural Comput, 30, 1514 - 1541
The temporal paradox of Hebbian learning and homeostatic plasticity.
Zenke F. et al, (2017), Curr Opin Neurobiol, 43, 166 - 176
Hebbian plasticity requires compensatory processes on multiple timescales.
Zenke F. and Gerstner W., (2017), Philos Trans R Soc Lond B Biol Sci, 372
Continual learning through synaptic intelligence
Zenke F. et al, (2017), 34th International Conference on Machine Learning, ICML 2017, 8, 6072 - 6082