Robert Legenstein
Orcid: 0000-0002-8724-5507Affiliations:
- Graz University of Technology, Austria
According to our database1,
Robert Legenstein
authored at least 61 papers
between 2000 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Neuromorph. Comput. Eng., September, 2023
Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Neuromorph. Comput. Eng., June, 2023
Proceedings of the Unconventional Computation and Natural Computation, 2023
2022
Cortical oscillations support sampling-based computations in spiking neural networks.
PLoS Comput. Biol., 2022
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity.
CoRR, 2022
Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
The location of the axon initial segment affects the bandwidth of spike initiation dynamics.
PLoS Comput. Biol., 2020
Frontiers Comput. Neurosci., 2020
Oscillatory background activity implements a backbone for sampling-based computations in spiking neural networks.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Proceedings of the Computing and Software Science - State of the Art and Perspectives, 2019
IEEE Trans. Biomed. Circuits Syst., 2019
Frontiers Neurorobotics, 2019
Fast learning synapses with molecular spin valves via selective magnetic potentiation.
CoRR, 2019
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets.
CoRR, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System.
CoRR, 2017
CoRR, 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
CoRR, 2016
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016
Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016
2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment.
PLoS Comput. Biol., 2014
2013
CoRR, 2013
2011
IEEE Trans. Neural Networks, 2011
2010
PLoS Comput. Biol., 2010
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons.
Neural Comput., 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2009
Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components.
Neural Comput., 2009
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback.
PLoS Comput. Biol., 2008
Neural Comput., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Neural Networks, 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
2004
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2002
Theor. Comput. Sci., 2002
A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002
2001
Electron. Colloquium Comput. Complex., 2001
Electron. Colloquium Comput. Complex., 2001
2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000