Friedemann Zenke

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Wulfram GerstnerEPFLAdresă de e-mail confirmată pe epfl.ch
Surya GanguliAssociate Professor, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Ben PooleResearch Scientist at Google DeepMindAdresă de e-mail confirmată pe stanford.edu
Emre NeftciInstitute Director, Forschungszentrum Jülich; Professor, RWTH AachenAdresă de e-mail confirmată pe fz-juelich.de
Tim P. VogelsInstitute of Science and Technology, AustriaAdresă de e-mail confirmată pe ist.ac.at
Henning SprekelerTechnische Universität BerlinAdresă de e-mail confirmată pe tu-berlin.de
Prof. Claudia ClopathBioengineering, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Johannes SchemmelHeidelberg UniversityAdresă de e-mail confirmată pe kip.uni-heidelberg.de
Everton J. AgnesBiozentrum, University of BaselAdresă de e-mail confirmată pe unibas.ch
Richard NaudDepartment of Cellular and Molecular Medicine, Department of Physics, University of OttawaAdresă de e-mail confirmată pe uottawa.ca
Yannik StradmannKirchhoff-Institute for Physics, Heidelberg UniversityAdresă de e-mail confirmată pe kip.uni-heidelberg.de
Hesham MostafaResearch scientist, Intel CorporationAdresă de e-mail confirmată pe intel.com
Axel LaborieuxPostdoctoral researcher, Friedrich Miescher Institute for Biomedical ResearchAdresă de e-mail confirmată pe fmi.ch
Alexandre PayeurResearch associate at Université de MontréalAdresă de e-mail confirmată pe umontreal.ca
Jordan GuerguievUniversity of Toronto ScarboroughAdresă de e-mail confirmată pe mail.utoronto.ca
Blake RichardsMila + McGill UniversityAdresă de e-mail confirmată pe mila.quebec
Manu Srinath HalvagalFriedrich Miescher Institute for Biomedical ResearchAdresă de e-mail confirmată pe fmi.ch
Korbinian SchreiberHeidelberg UniversityAdresă de e-mail confirmată pe kip.uni-heidelberg.de
Johannes WeisScientific staff, M.Sc. Physics, Heidelberg UniversityAdresă de e-mail confirmată pe kip.uni-heidelberg.de
Sebastian BillaudelleAdresă de e-mail confirmată pe kip.uni-heidelberg.de

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Friedemann Zenke

Friedrich Miescher Institute (FMI), University of Basel

Adresă de e-mail confirmată pe fmi.ch - Pagina de pornire

computational neuroscience learning neuroAI spiking neural networks neuromorphic computing


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Continual learning through synaptic intelligence F Zenke, B Poole, S Ganguli International Conference on Machine Learning, 3987-3995, 2017	2797	2017
Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spiking neural networks EO Neftci, H Mostafa, F Zenke IEEE Signal Processing Magazine 36 (6), 51-63, 2019	1279	2019
A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019	895	2019
Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks TP Vogels, H Sprekeler, F Zenke, C Clopath, W Gerstner Science 334 (6062), 1569-1573, 2011	787	2011
Superspike: Supervised learning in multilayer spiking neural networks F Zenke, S Ganguli Neural computation 30 (6), 1514-1541, 2018	636	2018
Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks F Zenke, EJ Agnes, W Gerstner Nature communications 6 (1), 6922, 2015	373	2015
The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks F Zenke, TP Vogels Neural computation 33 (4), 899-925, 2021	261	2021
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits A Payeur, J Guerguiev, F Zenke, BA Richards, R Naud Nature neuroscience 24 (7), 1010-1019, 2021	255	2021
The heidelberg spiking data sets for the systematic evaluation of spiking neural networks B Cramer, Y Stradmann, J Schemmel, F Zenke IEEE Transactions on Neural Networks and Learning Systems 33 (7), 2744-2757, 2020	214	2020
The temporal paradox of Hebbian learning and homeostatic plasticity F Zenke, W Gerstner, S Ganguli Current opinion in neurobiology 43, 166-176, 2017	211	2017
Hebbian plasticity requires compensatory processes on multiple timescales F Zenke, W Gerstner Philosophical Transactions of the Royal Society B 372 (1715), 20160259, 2017	203	2017
Synaptic plasticity in neural networks needs homeostasis with a fast rate detector F Zenke, G Hennequin, W Gerstner PLoS computational biology 9 (11), e1003330, 2013	180	2013
Inhibitory Synaptic Plasticity-Spike timing dependence and putative network function. H Sprekeler, TP Vogels, RC Froemke, N Doyon, M Gilson, JS Haas, R Liu, ... Frontiers in Neural Circuits 7, 2013	165	2013
Entrance channel dependence of quasifission in reactions forming RG Thomas, DJ Hinde, D Duniec, F Zenke, M Dasgupta, ML Brown, ... Physical Review C—Nuclear Physics 77 (3), 034610, 2008	133	2008
Surrogate gradients for analog neuromorphic computing B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ... Proceedings of the National Academy of Sciences 119 (4), e2109194119, 2022	118*	2022
Inference of neuronal network spike dynamics and topology from calcium imaging data H Lütcke, F Gerhard, F Zenke, W Gerstner, F Helmchen Frontiers in neural circuits 7, 201, 2013	113	2013
Determination of the η′-nucleus optical potential M Nanova, V Metag, EY Paryev, D Bayadilov, B Bantes, R Beck, ... Physics Letters B 727 (4-5), 417-423, 2013	97	2013
Brain-inspired learning on neuromorphic substrates F Zenke, EO Neftci Proceedings of the IEEE 109 (5), 935-950, 2021	95	2021
Limits to high-speed simulations of spiking neural networks using general-purpose computers F Zenke, W Gerstner Frontiers in neuroinformatics 8, 76, 2014	95	2014
Visualizing a joint future of neuroscience and neuromorphic engineering F Zenke, SM Bohté, C Clopath, IM Comşa, J Göltz, W Maass, ... Neuron 109 (4), 571-575, 2021	79	2021

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