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R. Legenstein · SciRah

Researcher profile · Semantic Scholar

R. Legenstein

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R. Legenstein — researcher profile on SciRah

h-index: 36
Works: 135
Citations: 7,449

Most-cited papers

A solution to the learning dilemma for recurrent networks of spiking neurons
G. Bellec, Franz Scherr, Anand Subramoney, Elias Hajek +3 more
2019Nature Communications665 citations Open access
Semantic Scholar
Long short-term memory and Learning-to-learn in networks of spiking neurons
G. Bellec, Darjan Salaj, Anand Subramoney, R. Legenstein +1 more
2018Neural Information Processing Systems628 citations
Semantic Scholar
Integration of nanoscale memristor synapses in neuromorphic computing architectures
G. Indiveri, B. Linares-Barranco, R. Legenstein, G. Deligeorgis +1 more
2013Nanotechnology599 citations Open access
Semantic Scholar
Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models
Ozan Özdenizci, R. Legenstein
2022IEEE Transactions on Pattern Analysis and Machine Intelligence574 citations Open access
Semantic Scholar
Deep Rewiring: Training very sparse deep networks
G. Bellec, D. Kappel, W. Maass, R. Legenstein
2017International Conference on Learning Representations325 citations
Semantic Scholar
Combining predictions for accurate recommender systems
Michael Jahrer, Andreas Töscher, R. Legenstein
2010Knowledge Discovery and Data Mining295 citations
Semantic Scholar
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
L. Büsing, B. Schrauwen, R. Legenstein
2010Neural Computation175 citations
Semantic Scholar
Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning.
Gregor M. Hoerzer, R. Legenstein, W. Maass
2014Cerebral Cortex160 citations
Semantic Scholar
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system
Sebastian Schmitt, Johann Klähn, G. Bellec, Andreas Grübl +25 more
2017IEEE International Joint Conference on Neural Network154 citations Open access
Semantic Scholar
Branch-Specific Plasticity Enables Self-Organization of Nonlinear Computation in Single Neurons
R. Legenstein, W. Maass
2011Journal of Neuroscience154 citations Open access
Semantic Scholar
A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task
R. Legenstein, S. Chase, A. Schwartz, W. Maass
2010Journal of Neuroscience147 citations Open access
Semantic Scholar
Network Plasticity as Bayesian Inference
D. Kappel, Stefan Habenschuss, R. Legenstein, W. Maass
2015PLoS Comput. Biol.134 citations Open access
Semantic Scholar
A compound memristive synapse model for statistical learning through STDP in spiking neural networks
Johannes Bill, R. Legenstein
2014Frontiers in Neuroscience104 citations Open access
Semantic Scholar
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
G. Bellec, Franz Scherr, Elias Hajek, Darjan Salaj +2 more
2019arXiv.org97 citations
Semantic Scholar
Reinforcement Learning on Slow Features of High-Dimensional Input Streams
R. Legenstein, Niko Wilbert, Laurenz Wiskott
2010PLoS Comput. Biol.96 citations Open access
Semantic Scholar
Spike frequency adaptation supports network computations on temporally dispersed information
Darjan Salaj, Anand Subramoney, Ceca Kraišniković, G. Bellec +2 more
2020bioRxiv89 citations Open access
Semantic Scholar
Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype
Chen Liu, G. Bellec, B. Vogginger, D. Kappel +7 more
2018Frontiers in Neuroscience76 citations Open access
Semantic Scholar
A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning
D. Kappel, R. Legenstein, Stefan Habenschuss, M. Hsieh +1 more
2017eNeuro61 citations Open access
Semantic Scholar
Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment
R. Legenstein, W. Maass
2014PLoS Comput. Biol.60 citations Open access
Semantic Scholar
Dendritic Computing: Branching Deeper into Machine Learning.
Jyotibdha Acharya, Arindam Basu, R. Legenstein, Thomas Limbacher +2 more
2021Neuroscience53 citations Open access
Semantic Scholar
Advancing spatio-temporal processing through adaptation in spiking neural networks
Maximilian Baronig, Romain Ferrand, Silvester Sabathiel, R. Legenstein
2024Nature Communications48 citations Open access
Semantic Scholar
Synaptic Plasticity as Bayesian Inference
D. Kappel, Stefan Habenschuss, R. Legenstein, W. Maass
201547 citations
Semantic Scholar
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
De-Rong Liu, M. Abu-Khalaf, Adel M. Alimi, Charles W. Anderson +56 more
201545 citations
Semantic Scholar
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype
Yexin Yan, D. Kappel, Felix Neumärker, Johannes Partzsch +6 more
2019IEEE Transactions on Biomedical Circuits and Systems36 citations Open access
Semantic Scholar
Rapid learning with phase-change memory-based in-memory computing through learning-to-learn
Thomas Ortner, Horst Petschenig, A. Vasilopoulos, Roland Renner +6 more
2025Nature Communications34 citations Open access
Semantic Scholar
Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring
Thomas Limbacher, R. Legenstein
2020Frontiers in Computational Neuroscience33 citations Open access
Semantic Scholar
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
Ozan Özdenizci, R. Legenstein
2021International Conference on Machine Learning31 citations
Semantic Scholar
A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling
Arne V. Blackman, Stefan Grabuschnig, R. Legenstein, P. Sjöström
2014Frontiers in Neuroanatomy31 citations Open access
Semantic Scholar
Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit Motifs
Zeno Jonke, R. Legenstein, Stefan Habenschuss, W. Maass
2017Journal of Neuroscience30 citations Open access
Semantic Scholar
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
Thomas Limbacher, R. Legenstein
2020bioRxiv27 citations Open access
Semantic Scholar
STDP Forms Associations between Memory Traces in Networks of Spiking Neurons
C. Pokorny, M. Ison, Arjun Rao, R. Legenstein +2 more
2017bioRxiv24 citations Open access
Semantic Scholar
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
D. Kappel, Stefan Habenschuss, R. Legenstein, W. Maass
2015Neural Information Processing Systems24 citations
Semantic Scholar
Nanoscale connections for brain-like circuits
R. Legenstein
2015Nature23 citations
Semantic Scholar
Long Term Memory and the Densest K-Subgraph Problem
R. Legenstein, W. Maass, C. Papadimitriou, S. Vempala
2018Information Technology Convergence and Services22 citations
Semantic Scholar
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition
Johannes Bill, L. Buesing, Stefan Habenschuss, Bernhard Nessler +2 more
2015PLoS ONE21 citations Open access
Semantic Scholar
Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching
Ozan Özdenizci, R. Legenstein
2022Computer Vision and Pattern Recognition19 citations
Semantic Scholar
A Model for Structured Information Representation in Neural Networks of the Brain
Michael G. Müller, C. Papadimitriou, W. Maass, R. Legenstein
2016eNeuro19 citations Open access
Semantic Scholar
Brain Computation: A Computer Science Perspective
W. Maass, C. Papadimitriou, S. Vempala, R. Legenstein
2019Computing and Software Science18 citations Open access
Semantic Scholar
Adversarially Robust Spiking Neural Networks Through Conversion
Ozan Özdenizci, R. Legenstein
2023Trans. Mach. Learn. Res.17 citations
Semantic Scholar
Embodied Synaptic Plasticity With Online Reinforcement Learning
Jacques Kaiser, M. Hoff, Andreas Konle, J. Camilo Vasquez Tieck +7 more
2019Front. Neurorobot.16 citations Open access
Semantic Scholar
Author response to reviewer comments
A. Korcsak-Gorzo, Michael G. Müller, A. Baumbach, Luziwei Leng +6 more
201815 citations Open access
Semantic Scholar
Pattern representation and recognition with accelerated analog neuromorphic systems
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, D. Stöckel +31 more
2017International Symposium on Circuits and Systems15 citations Open access
Semantic Scholar
A probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibition
R. Legenstein, Zeno Jonke, Stefan Habenschuss, W. Maass
201714 citations
Semantic Scholar
Reward-based stochastic self-configuration of neural circuits
D. Kappel, R. Legenstein, Stefan Habenschuss, M. Hsieh +1 more
2017arXiv.org13 citations
Semantic Scholar
Assembly pointers for variable binding in networks of spiking neurons
R. Legenstein, C. Papadimitriou, S. Vempala, W. Maass
201613 citations
Semantic Scholar
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
Alexander Serb, Johannes Bill, A. Khiat, R. Berdan +2 more
2016Nature Communications12 citations Open access
Semantic Scholar
Context association in pyramidal neurons through local synaptic plasticity in apical dendrites
Maximilian Baronig, R. Legenstein
2024Frontiers in Neuroscience11 citations Open access
Semantic Scholar
Generating Conceptual Architectural 3D Geometries with Denoising Diffusion Models
Adam Sebestyen, Ozan Özdenizci, Urs Hirschberg, R. Legenstein
2023eCAADe proceedings11 citations Open access
Semantic Scholar
Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity
Thomas Limbacher, Ozan Özdenizci, R. Legenstein
2023IEEE Transactions on Neural Networks and Learning Systems11 citations Open access
Semantic Scholar
Eligibility traces provide a data-inspired alternative to backpropagation through time
G. Bellec, Franz Scherr, Elias Hajek, Darjan Salaj +3 more
201911 citations
Semantic Scholar

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