CameraTransform: a Scientific Python Package for Perspective Camera Corrections. - Richard Gerum; Sebastian Richter; Alexander Winterl; Ben Fabry; Daniel P. Zitterbart (CoRR, 2017)

How deep is deep enough? - Optimizing deep neural network architecture. - Achim Schilling; Jonas Rietsch; Richard Gerum; Holger Schulze; Claus Metzner; Patrick Krauss (CoRR, 2018)

CameraTransform: A Python package for perspective corrections and image mapping. - Richard C. Gerum; Sebastian Richter; Alexander Winterl; Christoph Mark; Ben Fabry; Céline Le Bohec; Daniel P. Zitterbart (SoftwareX, 2019)

Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning. - Richard C. Gerum; Achim Schilling (CoRR, 2020)

pylustrator: code generation for reproducible figures for publication. - Richard Gerum (J. Open Source Softw., 2020)

Sparsity through evolutionary pruning prevents neuronal networks from overfitting. - Richard C. Gerum; André Erpenbeck; Patrick Krauss; Achim Schilling (Neural Networks, 2020)

Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach. - Richard C. Gerum; Achim Schilling (Neural Comput., 2021)

Quantifying the separability of data classes in neural networks. - Achim Schilling; Andreas Maier 001; Richard Gerum; Claus Metzner; Patrick Krauss (Neural Networks, 2021)

Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception. - Achim Schilling; William Sedley; Richard Gerum; Claus Metzner; Konstantin Tziridis; Andreas K. Maier; Holger Schulze; Fan-Gang Zeng; Karl J. Friston; Patrick Krauss (CoRR, 2022)

Different Spectral Representations in Optimized Artificial Neural Networks and Brains. - Richard C. Gerum; Cassidy Pirlot; Alona Fyshe; Joel Zylberberg (CoRR, 2022)

Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer. - Cassidy Pirlot; Richard C. Gerum; Cory Efird; Joel Zylberberg; Alona Fyshe (CoRR, 2022)

Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology. - Richard Gerum; André Erpenbeck; Patrick Krauss; Achim Schilling (IJCNN, 2023)

Deep learning based decoding of single local field potential events. - Achim Schilling; Richard Gerum; Claudia Boehm; Jwan Rasheed; Claus Metzner; Andreas Maier 001; Caroline Reindl; Hajo M. Hamer; Patrick Krauss (NeuroImage, 2024)