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Robert Legenstein

Prof.

Graz University of Technology

Austria

Research Interests

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Articles (17)

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2026

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2025

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2020

Collaborators (9)

Florian Unger

Graz University of Technology (90000)

AUSTRIA

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Ozan Özdenizci

Assistant Professor

Graz University of Technology (90000)

AUSTRIA

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Walter Senn

University of Bern

SWITZERLAND

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Michele Giugliano

Principal Investigator (Associate Professor)

Scuola Internazionale Superiore di Studi Avanzati

ITALY

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Thomas Limbacher

Graz University of Technology

AUSTRIA

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Wolfgang Maass

Graz University of Technology

AUSTRIA

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Matias Ison

Associate Professor

University of Nottingham

UNITED KINGDOM

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Guillaume Bellec

TU Wien

AUSTRIA

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Anand Subramoney

Lecturer (Assistant professor)

University College London

UNITED KINGDOM

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Robert Legenstein

Research Interests

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Articles (17)

A scalable hybrid training approach for recurrent spiking neural networks

Adversarially Robust Spiking Neural Networks with Sparse Connectivity

Rapid learning with phase-change memory-based in-memory computing through learning-to-learn

Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity

Non-synaptic plasticity enables memory-dependent local learning

Advancing spatio-temporal processing through adaptation in spiking neural networks

Controlling ReRAM's Switching Characteristics with Shadow Memory for Continual Learning

Editorial: Focus on algorithms for neuromorphic computing

Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models

Quantized rewiring: hardware-aware training of sparse deep neural networks

Cortical oscillations support sampling-based computations in spiking neural networks.

Spike frequency adaptation supports network computations on temporally dispersed information

Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring.

The location of the axon initial segment affects the bandwidth of spike initiation dynamics

A solution to the learning dilemma for recurrent networks of spiking neurons

A Model for Structured Information Representation in Neural Networks of the Brain.

STDP Forms Associations between Memory Traces in Networks of Spiking Neurons.

Collaborators (9)

Florian Unger

Ozan Özdenizci

Walter Senn

Michele Giugliano

Thomas Limbacher

Wolfgang Maass

Matias Ison

Guillaume Bellec

Anand Subramoney

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