Robert Legenstein
Technische Universität Graz
H-index: 32
Europe-Austria
Top articles of Robert Legenstein
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Context association in pyramidal neurons through local synaptic plasticity in apical dendrites | Frontiers in Neuroscience | Maximilian Baronig Robert Legenstein | 2024/1/31 |
Fast learning without synaptic plasticity in spiking neural networks | Scientific Reports | Anand Subramoney Guillaume Bellec Franz Scherr Robert Legenstein Wolfgang Maass | 2024/4/12 |
Focus on algorithms for neuromorphic computing | Neuromorphic Computing and Engineering | Robert Legenstein Arindam Basu Priyadarshini Panda | 2023/8/1 |
Generating Conceptual Architectural 3D Geometries with Denoising Diffusion Models | Adam Sebestyen Ozan Özdenizci Robert Legenstein Urs Hirschberg | 2023 | |
Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity | IEEE Transactions on Neural Networks and Learning Systems | Thomas Limbacher Ozan Özdenizci Robert Legenstein | 2023/12/19 |
Quantized rewiring: hardware-aware training of sparse deep neural networks | Neuromorphic Computing and Engineering | Horst Petschenig Robert Legenstein | 2023/5/26 |
Fault pruning: Robust training of neural networks with memristive weights | Ceca Kraišniković Spyros Stathopoulos Themis Prodromakis Robert Legenstein | 2023/3/13 | |
Adversarially Robust Spiking Neural Networks Through Conversion | Transactions on Machine Learning Research | Ozan Özdenizci Robert Legenstein | 2024 |
Restoring vision in adverse weather conditions with patch-based denoising diffusion models | IEEE Transactions on Pattern Analysis and Machine Intelligence | Ozan Özdenizci Robert Legenstein | 2023 |
Context-dependent computations in spiking neural networks with apical modulation | Romain Ferrand Maximilian Baronig Thomas Limbacher Robert Legenstein | 2023/9/22 | |
Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks | Francisco Javier Klaiber Aboitiz Robert Legenstein Ozan Özdenizci | 2023/9/22 | |
Non-synaptic plasticity enables memory-dependent local learning | bioRxiv | Romain Ferrand Maximilian Baronig Florian Unger Robert Legenstein | 2023 |
Spike-based symbolic computations on bit strings and numbers | Neuro-Symbolic Artificial Intelligence: The State of the Art | P Hitzler MK Sarker | 2022/1/19 |
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity | arXiv preprint arXiv:2205.11276 | Thomas Limbacher Ozan Özdenizci Robert Legenstein | 2022/5/23 |
Improving robustness against stealthy weight bit-flip attacks by output code matching | Ozan Özdenizci Robert Legenstein | 2022 | |
Dendritic computing: branching deeper into machine learning | Jyotibdha Acharya Arindam Basu Robert Legenstein Thomas Limbacher Panayiota Poirazi | 2022/5/1 | |
Classification of Whisker deflections from evoked responses in the somatosensory barrel cortex with spiking neural networks | Frontiers in neuroscience | Horst Petschenig Marta Bisio Marta Maschietto Alessandro Leparulo Robert Legenstein | 2022/4/14 |
Cortical oscillations support sampling-based computations in spiking neural networks | PLoS computational biology | Agnes Korcsak-Gorzo Michael G Müller Andreas Baumbach Luziwei Leng Oliver J Breitwieser | 2022/3/24 |
A normative framework for learning top-down predictions through synaptic plasticity in apical dendrites | bioRxiv | Arjun Rao* Robert Legenstein* Anand Subramoney Wolfgang Maass | 2021/1/1 |
Spike frequency adaptation supports network computations on temporally dispersed information | Elife | Darjan Salaj Anand Subramoney Ceca Kraisnikovic Guillaume Bellec Robert Legenstein | 2021/7/26 |
Co-Authors
