Incremental GRLVQ: Learning relevant features for 3D object recognition. - Tim C. Kietzmann; Sascha Lange; Martin A. Riedmiller (Neurocomputing, 2008)

The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting. - Tim C. Kietzmann; Martin A. Riedmiller (ICMLA, 2009)

Computational object recognition: a biologically motivated approach. - Tim C. Kietzmann; Sascha Lange; Martin A. Riedmiller (Biol. Cybern., 2009)

Aspects of Object Recognition: Sampling, Invariance, and Plasticity - Tim Christian Kietzmann (2015)

Extensive training leads to temporal and spatial shifts of cortical activity underlying visual category selectivity. - Tim C. Kietzmann; Benedikt V. Ehinger; Danja Porada; Andreas K. Engel; Peter König (NeuroImage, 2016)

Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience. - Julius Schöning; Anna L. Gert; Alper Açik; Tim C. Kietzmann; Gunther Heidemann; Peter König (VISIGRAPP (4: VISAPP), 2017)

Representational Dynamics of Facial Viewpoint Encoding. - Tim C. Kietzmann; Anna L. Gert; Frank Tong; Peter König (J. Cogn. Neurosci., 2017)

Embodied cognition. - Peter König; Andrew Melnik; Caspar Goeke; Anna L. Gert; Sabine U. König; Tim C. Kietzmann (BCI, 2018)

Recurrence required to capture the dynamic computations of the human ventral visual stream. - Tim C. Kietzmann; Courtney J. Spoerer; Lynn Sörensen; Radoslaw Martin Cichy; Olaf Hauk; Nikolaus Kriegeskorte (CoRR, 2019)

Learning robust visual representations using data augmentation invariance. - Alex Hernández-García; Peter König; Tim C. Kietzmann (CoRR, 2019)

Visualizing Representational Dynamics with Multidimensional Scaling Alignment. - Baihan Lin; Marieke Mur; Tim C. Kietzmann; Nikolaus Kriegeskorte (CoRR, 2019)

Faces strongly attract early fixations in naturally sampled real-world stimulus materials. - Anna Lisa Gert; Benedikt V. Ehinger; Tim C. Kietzmann; Peter König (ETRA Short Papers, 2020)

"All Around Me Are Synthetic Faces": The Mad World of AI-Generated Media. - Lucas Whittaker; Tim C. Kietzmann; Jan Kietzmann; Amir Dabirian (IT Prof., 2020)

Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision. - Courtney J. Spoerer; Tim C. Kietzmann; Johannes Mehrer; Ian Charest; Nikolaus Kriegeskorte (PLoS Comput. Biol., 2020)

Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization. - Sushrut Thorat; Giacomo Aldegheri; Tim C. Kietzmann (CoRR, 2021)

Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting. - Katherine R. Storrs; Tim C. Kietzmann; Alexander Walther; Johannes Mehrer; Nikolaus Kriegeskorte (J. Cogn. Neurosci., 2021)

Semantic scene descriptions as an objective of human vision. - Adrien Doerig; Tim C. Kietzmann; Emily J. Allen; Yihan Wu; Thomas Naselaris; Kendrick N. Kay; Ian Charest (CoRR, 2022)

Predictive coding is a consequence of energy efficiency in recurrent neural networks. - Abdullahi Ali; Nasir Ahmad; Elgar de Groot; Marcel A. J. van Gerven; Tim Christian Kietzmann (Patterns, 2022)

End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions. - Zejin Lu; Adrien Doerig; Victoria Bosch; Bas Krahmer; Daniel Kaiser 002; Radoslaw Martin Cichy; Tim C. Kietzmann (CoRR, 2023)

Characterising representation dynamics in recurrent neural networks for object recognition. - Sushrut Thorat; Adrien Doerig; Tim C. Kietzmann (CoRR, 2023)

Balancing stability and plasticity in continual learning: the readout-decomposition of activation change (RDAC) framework. - Daniel Anthes; Sushrut Thorat; Peter König; Tim C. Kietzmann (CoRR, 2023)

Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment. - Daniel Anthes; Sushrut Thorat; Peter König; Tim C. Kietzmann (CoRR, 2023)

Empirically Identifying and Computationally Modeling the Brain-Behavior Relationship for Human Scene Categorization. - Agnessa Karapetian; Antoniya Boyanova; Muthukumar Pandaram; Klaus Obermayer; Tim C. Kietzmann; Radoslaw Martin Cichy (J. Cogn. Neurosci., 2023)

Keep moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks. - Daniel Anthes; Sushrut Thorat; Peter König; Tim C. Kietzmann (CoLLAs, 2024)

Sparks of cognitive flexibility: self-guided context inference for flexible stimulus-response mapping by attentional routing. - Rowan P. Sommers; Sushrut Thorat; Daniel Anthes; Tim C. Kietzmann (CoRR, 2025)

Helping Blind People Grasp: Enhancing a Tactile Bracelet with an Automated Hand Navigation System. - Marcin Furtak; Florian Pätzold; Tim C. Kietzmann; Silke M. Kärcher; Peter König (CoRR, 2025)

Adopting a human developmental visual diet yields robust, shape-based AI vision. - Zejin Lu; Sushrut Thorat; Radoslaw Martin Cichy; Tim C. Kietzmann (CoRR, 2025)