Friedemann Zenke

Centre for Neural Circuits and Behaviour University of Oxford, Oxford, United Kingdom 
"Friedemann Zenke"
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Wulfram Gerstner grad student 2009-2014
Tim Vogels post-doc 2017-
Surya Ganguli post-doc 2015-2017 (Physics Tree)


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Everton J Agnes collaborator 2013- Oxford
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Zenke F, Bohté SM, Clopath C, et al. (2021) Visualizing a joint future of neuroscience and neuromorphic engineering. Neuron. 109: 571-575
Zenke F, Vogels TP. (2021) The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks. Neural Computation. 1-27
Richards BA, Lillicrap TP, Beaudoin P, et al. (2019) A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770
Zenke F, Ganguli S. (2018) SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks. Neural Computation. 1-28
Zenke F, Poole B, Ganguli S. (2017) Continual Learning Through Synaptic Intelligence. Proceedings of Machine Learning Research. 70: 3987-3995
Zenke F, Gerstner W, Ganguli S. (2017) The temporal paradox of Hebbian learning and homeostatic plasticity. Current Opinion in Neurobiology. 43: 166-176
Zenke F, Gerstner W. (2017) Hebbian plasticity requires compensatory processes on multiple timescales. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372
Gilson M, Savin C, Zenke F. (2015) Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity. Frontiers in Computational Neuroscience. 9: 145
Zenke F, Agnes EJ, Gerstner W. (2015) Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks. Nature Communications. 6: 6922
Ziegler L, Zenke F, Kastner DB, et al. (2015) Synaptic consolidation: from synapses to behavioral modeling. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 1319-34
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