Publications by authors named "Robert Legenstein"

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Advancing spatio-temporal processing through adaptation in spiking neural networks.
Maximilian Baronig, Romain Ferrand, Silvester Sabathiel, Robert Legenstein

Nat Commun· July 2025

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Non-synaptic plasticity enables memory-dependent local learning.
Romain Ferrand, Maximilian Baronig, Florian Unger, Robert Legenstein

PLoS One· May 2025

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Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity.
Thomas Limbacher, Ozan Ozdenizci, Robert Legenstein

IEEE Trans Neural Netw Learn Syst· February 2025

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Rapid learning with phase-change memory-based in-memory computing through learning-to-learn.
Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos, Roland Renner, Špela Brglez, Robert Legenstein

Nat Commun· February 2025

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Fast learning without synaptic plasticity in spiking neural networks.
Anand Subramoney, Guillaume Bellec, Franz Scherr, Robert Legenstein, Wolfgang Maass

Sci Rep· April 2024

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Context association in pyramidal neurons through local synaptic plasticity in apical dendrites.
Maximilian Baronig, Robert Legenstein

Front Neurosci· January 2024

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Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models.
Ozan Ozdenizci, Robert Legenstein

IEEE Trans Pattern Anal Mach Intell· August 2023

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Dendritic Computing: Branching Deeper into Machine Learning.
Jyotibdha Acharya, Arindam Basu, Robert Legenstein, Thomas Limbacher, Panayiota Poirazi

Neuroscience· May 2022

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Classification of Whisker Deflections From Evoked Responses in the Somatosensory Barrel Cortex With Spiking Neural Networks.
Horst Petschenig, Marta Bisio, Marta Maschietto, Alessandro Leparulo, Robert Legenstein

Front Neurosci· April 2022

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Cortical oscillations support sampling-based computations in spiking neural networks.
Agnes Korcsak-Gorzo, Michael G Müller, Andreas Baumbach, Luziwei Leng, Oliver J Breitwieser, Robert Legenstein

PLoS Comput Biol· March 2022

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Spike frequency adaptation supports network computations on temporally dispersed information.
Darjan Salaj, Anand Subramoney, Ceca Kraisnikovic, Guillaume Bellec, Robert Legenstein

Elife· July 2021

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A Model for Structured Information Representation in Neural Networks of the Brain.
Michael G Müller, Christos H Papadimitriou, Wolfgang Maass, Robert Legenstein

eNeuro· June 2021

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Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring.
Thomas Limbacher, Robert Legenstein

Front Comput Neurosci· August 2020

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A solution to the learning dilemma for recurrent networks of spiking neurons.
Guillaume Bellec, Franz Scherr, Anand Subramoney, Elias Hajek, Darjan Salaj, Robert Legenstein

Nat Commun· July 2020

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The location of the axon initial segment affects the bandwidth of spike initiation dynamics.
Christophe Verbist, Michael G Müller, Huibert D Mansvelder, Robert Legenstein, Michele Giugliano

PLoS Comput Biol· July 2020

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STDP Forms Associations between Memory Traces in Networks of Spiking Neurons.
Christoph Pokorny, Matias J Ison, Arjun Rao, Robert Legenstein, Christos Papadimitriou

Cereb Cortex· March 2020

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Embodied Synaptic Plasticity With Online Reinforcement Learning.
Jacques Kaiser, Michael Hoff, Andreas Konle, J Camilo Vasquez Tieck, David Kappel, Robert Legenstein

Front Neurorobot· October 2019

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Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.
Yexin Yan, David Kappel, Felix Neumarker, Johannes Partzsch, Bernhard Vogginger, Robert Legenstein

IEEE Trans Biomed Circuits Syst· June 2019

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A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning.
David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass

eNeuro· January 2019

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Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype.
Chen Liu, Guillaume Bellec, Bernhard Vogginger, David Kappel, Johannes Partzsch, Robert Legenstein

Front Neurosci· November 2018

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Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit Motifs.
Zeno Jonke, Robert Legenstein, Stefan Habenschuss, Wolfgang Maass

J Neurosci· August 2017

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Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses.
Alexander Serb, Johannes Bill, Ali Khiat, Radu Berdan, Robert Legenstein

Nat Commun· September 2016

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Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition.
Johannes Bill, Lars Buesing, Stefan Habenschuss, Bernhard Nessler, Wolfgang Maass, Robert Legenstein

PLoS One· May 2016

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Network Plasticity as Bayesian Inference.
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass

PLoS Comput Biol· November 2015

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Computer science: Nanoscale connections for brain-like circuits.
Robert Legenstein

Nature· May 2015

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