Visualisation in archaeology: An assessment of modelling archaeological landscapes using scientific and gaming software. - Michael Teichmann (Int. J. Humanit. Arts Comput., 2009)

Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex. - Michael Teichmann; Jan Wiltschut; Fred H. Hamker (Neural Comput., 2012)

Interdisziplinäre Impulse für den Begriff "Interaktion". - Andreas Bischof; Vera Obländer; Michael Heidt; Kalja Kanellopoulos; Vincent Küszter; Benny Liebold; Kai-Uwe Martin; Daniel Pietschmann; Michael Storz; Anke Tallig; Michael Teichmann; Madlen Wuttke (ISI, 2013)

Modeling Vision. - Michael Teichmann (Joint Workshop of the German Research Training Groups in Computer Science, 2014)

Competition improves robustness against loss of information. - Arash Kermani Kolankeh; Michael Teichmann; Fred H. Hamker (Frontiers Comput. Neurosci., 2015)

Human Capacities for Emotion Recognition and their Implications for Computer Vision. - Benny Liebold; René Richter; Michael Teichmann; Fred H. Hamker; Peter Ohler (i-com, 2015)

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

A plastic multilayer network of the early visual system inspired by the neocortical circuit. - Michael Teichmann (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)

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