A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. - René Larisch; Michael Teichmann; Fred H. Hamker (ICANN (1), 2018)

Performance of biologically grounded models of the early visual system on standard object recognition tasks. - Michael Teichmann; René Larisch; Fred H. Hamker (Neural Networks, 2021)

Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity. - René Larisch; Lorenz Gönner; Michael Teichmann; Fred H. Hamker (PLoS Comput. Biol., 2021)

Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data. - René Larisch; Lucien Berger; Fred H. Hamker (ICANN (8), 2023)

Detecting Anomalies in System Logs With a Compact Convolutional Transformer. - René Larisch; Julien Vitay; Fred H. Hamker (IEEE Access, 2023)

Robustness of Biologically Grounded Neural Networks Against Image Perturbations. - Michael Teichmann; René Larisch; Fred H. Hamker (ICANN (10), 2024)

A systematic analysis of the joint effects of ganglion cells, lagged LGN cells, and intercortical inhibition on spatiotemporal processing and direction selectivity. - René Larisch; Fred H. Hamker (Neural Networks, 2025)