Mihai A. Petrovici
Orcid: 0000-0003-2632-0427Affiliations:
- Heidelberg University, Kirchhoff Institute for Physics, Germany
- University of Bern, Department of Physiology, Switzerland
According to our database1,
Mihai A. Petrovici
authored at least 50 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on d-nb.info
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons.
CoRR, 2024
2023
CoRR, 2023
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023
2022
Cortical oscillations support sampling-based computations in spiking neural networks.
PLoS Comput. Biol., 2022
CoRR, 2022
DELAUNAY: a dataset of abstract art for psychophysical and machine learning research.
CoRR, 2022
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022
2021
Neural Networks, 2021
Nat. Mach. Intell., 2021
ERCIM News, 2021
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
2019
Neural Networks, 2019
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
2018
2017
Spiking neurons with short-term synaptic plasticity form superior generative networks.
CoRR, 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
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
CoRR, 2016
Proceedings of the International Conference on Communications, 2016
2015
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons.
Frontiers Comput. Neurosci., 2015
Proceedings of the IEEE International Conference on Industrial Technology, 2015
2014
Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform.
CoRR, 2014
2013
2011
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Biol. Cybern., 2011