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Richard Gerum
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2020 – today
- 2024
- [j6]Achim Schilling
, Richard Gerum
Deep learning based decoding of single local field potential events. NeuroImage 297: 120696 (2024) - 2023
- [c1]Richard Gerum
Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology. IJCNN 2023: 1-9 - 2022
- [i8]Achim Schilling, William Sedley, Richard Gerum, Claus Metzner, Konstantin Tziridis, Andreas K. Maier, Holger Schulze, Fan-Gang Zeng, Karl J. Friston, Patrick Krauss:
Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception. CoRR abs/2204.03354 (2022) - [i7]Richard C. Gerum, Cassidy Pirlot, Alona Fyshe, Joel Zylberberg:
Different Spectral Representations in Optimized Artificial Neural Networks and Brains. CoRR abs/2208.10576 (2022) - [i6]Cassidy Pirlot, Richard C. Gerum, Cory Efird, Joel Zylberberg, Alona Fyshe:
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer. CoRR abs/2209.02582 (2022) - 2021
- [j5]Richard C. Gerum
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach. Neural Comput. 33(10): 2827-2852 (2021) - [j4]Achim Schilling
Quantifying the separability of data classes in neural networks. Neural Networks 139: 278-293 (2021) - 2020
- [j3]Richard Gerum
pylustrator: code generation for reproducible figures for publication. J. Open Source Softw. 5(51): 1989 (2020) - [j2]Richard C. Gerum
Sparsity through evolutionary pruning prevents neuronal networks from overfitting. Neural Networks 128: 305-312 (2020) - [i5]Richard C. Gerum, Achim Schilling:
Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning. CoRR abs/2004.13532 (2020)
2010 – 2019
- 2019
- [j1]Richard C. Gerum
CameraTransform: A Python package for perspective corrections and image mapping. SoftwareX 10: 100333 (2019) - [i4]Richard Gerum:
pylustrator: Code generation for reproducible figures for publication. CoRR abs/1910.00279 (2019) - [i3]Richard C. Gerum, André Erpenbeck, Patrick Krauss
Sparsity through evolutionary pruning prevents neuronal networks from overfitting. CoRR abs/1911.10988 (2019) - 2018
- [i2]Achim Schilling, Jonas Rietsch, Richard Gerum, Holger Schulze, Claus Metzner, Patrick Krauss
How deep is deep enough? - Optimizing deep neural network architecture. CoRR abs/1811.01753 (2018) - 2017
- [i1]Richard Gerum
CameraTransform: a Scientific Python Package for Perspective Camera Corrections. CoRR abs/1712.07438 (2017)
Coauthor Index
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