Friedemann Zenke

7.4k total citations · 2 hit papers
30 papers, 3.0k citations indexed

About

Friedemann Zenke is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Friedemann Zenke has authored 30 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 24 papers in Electrical and Electronic Engineering and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Friedemann Zenke's work include Neural dynamics and brain function (25 papers), Advanced Memory and Neural Computing (24 papers) and Neuroscience and Neural Engineering (8 papers). Friedemann Zenke is often cited by papers focused on Neural dynamics and brain function (25 papers), Advanced Memory and Neural Computing (24 papers) and Neuroscience and Neural Engineering (8 papers). Friedemann Zenke collaborates with scholars based in Switzerland, United Kingdom and United States. Friedemann Zenke's co-authors include Wulfram Gerstner, Emre Neftci, Hesham Mostafa, Surya Ganguli, Tim P. Vogels, Ben Poole, Henning Sprekeler, Claudia Clopath, Everton J. Agnes and Guillaume Hennequin and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Friedemann Zenke

28 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

2019 773 citations Emre Neftci, Friedemann Zenke et al. profile →
Continual Learning Through Synaptic Intelligence.

2017 421 citations Friedemann Zenke, Ben Poole et al. profile →

Peers

Countries citing papers authored by Friedemann Zenke

Since Specialization

Citations

This map shows the geographic impact of Friedemann Zenke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Friedemann Zenke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedemann Zenke more than expected).

Fields of papers citing papers by Friedemann Zenke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Friedemann Zenke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Friedemann Zenke. The network helps show where Friedemann Zenke may publish in the future.

Co-authorship network of co-authors of Friedemann Zenke

This figure shows the co-authorship network connecting the top 25 collaborators of Friedemann Zenke. A scholar is included among the top collaborators of Friedemann Zenke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Friedemann Zenke. Friedemann Zenke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	EFLOP: A Sparsity-Aware Metric for Evaluating Computational Cost in Spiking and Non-Spiking Neural Networks 2025 ·Neuromorphic Computing and Engineering ·(unknown), Friedemann Zenke, Shih‐Chii Liu, L. A. Dunbar	0
2	Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks 2025 ·PLoS Computational Biology ·(unknown), Everton J. Agnes, Friedemann Zenke, Henning Sprekeler, Tim P. Vogels	0
3	Invited: Achieving PetaOps/W Edge-AI Processing 2024 ·Manil Dev Gomony, (unknown), (unknown), (unknown), (unknown), (unknown), Friedemann Zenke, Said Hamdioui, Henk Corporaal	1
4	Geometry and dynamics of representations in a precisely balanced memory network related to olfactory cortex 2024 ·eLife ·(unknown), Friedemann Zenke, Rainer W. Friedrich	2
5	The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks 2023 ·Nature Neuroscience ·(unknown), Friedemann Zenke	26
6	Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware 2022 ·Frontiers in Neuroscience ·(unknown), (unknown), Lyes Khacef, (unknown), (unknown), (unknown), (unknown), (unknown), Gianvito Urgese, Friedemann Zenke, Chiara Bartolozzi	36
7	Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits 2021 ·Nature Neuroscience ·Alexandre Payeur, Jordan Guerguiev, Friedemann Zenke, Blake A. Richards, Richard Naud	120
8	Visualizing a joint future of neuroscience and neuromorphic engineering 2021 ·Neuron ·Friedemann Zenke, Sander M. Bohté, Claudia Clopath, (unknown), (unknown), Wolfgang Maass, Timothée Masquelier, Richard Naud, Emre Neftci, Mihai A. Petrovici, Franz Scherr, Dan F. M. Goodman	37
9	A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network 2020 ·edoc (University of Basel) ·(unknown), Friedemann Zenke, (unknown), Timothy Lillicrap, Tim P. Vogels	1
10	The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke	132
11	Specific synaptic input strengths determine the computational properties of excitation–inhibition integration in a sound localization circuit 2018 ·The Journal of Physiology ·(unknown), Friedemann Zenke, (unknown), Ralf Schneggenburger	22
12	Improved multitask learning through synaptic intelligence. 2017 ·arXiv (Cornell University) ·Friedemann Zenke, Ben Poole, Surya Ganguli	12
13	The temporal paradox of Hebbian learning and homeostatic plasticity 2017 ·Current Opinion in Neurobiology ·Friedemann Zenke, Wulfram Gerstner, Surya Ganguli	116
14	Hebbian plasticity requires compensatory processes on multiple timescales 2017 ·Philosophical Transactions of the Royal Society B Biological Sciences ·Friedemann Zenke, Wulfram Gerstner	111
15	Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks 2015 ·Nature Communications ·Friedemann Zenke, Everton J. Agnes, Wulfram Gerstner	230
16	Synaptic Consolidation: From Synapses to Behavioral Modeling 2015 ·Journal of Neuroscience ·(unknown), Friedemann Zenke, David B. Kastner, Wulfram Gerstner	28
17	Limits to high-speed simulations of spiking neural networks using general-purpose computers 2014 ·Frontiers in Neuroinformatics ·Friedemann Zenke, Wulfram Gerstner	42
18	Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector 2013 ·PLoS Computational Biology ·Friedemann Zenke, Guillaume Hennequin, Wulfram Gerstner	102
19	Inference of neuronal network spike dynamics and topology from calcium imaging data 2013 ·Frontiers in Neural Circuits ·Henry Lütcke, Felipe Gerhard, Friedemann Zenke, Wulfram Gerstner, Fritjof Helmchen	61
20	Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks 2011 ·Science ·Tim P. Vogels, Henning Sprekeler, Friedemann Zenke, Claudia Clopath, Wulfram Gerstner	470

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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