Tim C. Kietzmann

29 papers B 1C 1Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Minimal Task Reveals Emergent Path Integration and Object-Location Binding in a Predictive Sequence Model. CoRR Linda Ariel Ventura, Victoria Bosch, Tim C. Kietzmann, Sushrut Thorat
2026	J	`jnl`	Predictive remapping and allocentric coding as consequences of energy efficiency in recurrent neural network models of active vision. Patterns Thomas Nortmann, Philip Sulewski, Tim C. Kietzmann
2025	J	`jnl`	Adopting a human developmental visual diet yields robust, shape-based AI vision. CoRR Zejin Lu, Sushrut Thorat, Radoslaw Martin Cichy, Tim C. Kietzmann
2025	J	`jnl`	Helping Blind People Grasp: Enhancing a Tactile Bracelet with an Automated Hand Navigation System. CoRR Marcin Furtak, Florian Pätzold, Tim C. Kietzmann, Silke M. Kärcher, Peter König
2025	J	`jnl`	Predicting upcoming visual features during eye movements yields scene representations aligned with human visual cortex. CoRR Sushrut Thorat, Adrien Doerig, Alexander Kroner, Carmen Amme, Tim C. Kietzmann
2025	J	`jnl`	Sparks of cognitive flexibility: self-guided context inference for flexible stimulus-response mapping by attentional routing. CoRR Rowan P. Sommers, Sushrut Thorat, Daniel Anthes, Tim C. Kietzmann
2024	B	`conf`	Computational characterization of the role of an attention schema in controlling visuospatial attention. CogSci Lotta Marlen Piefke, Adrien Doerig, Tim C. Kietzmann, Sushrut Thorat
2024	—	`conf`	Keep moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks. CoLLAs Daniel Anthes, Sushrut Thorat, Peter König, Tim C. Kietzmann
2023	J	`jnl`	Balancing stability and plasticity in continual learning: the readout-decomposition of activation change (RDAC) framework. CoRR Daniel Anthes, Sushrut Thorat, Peter König, Tim C. Kietzmann
2023	J	`jnl`	Characterising representation dynamics in recurrent neural networks for object recognition. CoRR Sushrut Thorat, Adrien Doerig, Tim C. Kietzmann
2023	J	`jnl`	Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment. CoRR Daniel Anthes, Sushrut Thorat, Peter König, Tim C. Kietzmann
2023	J	`jnl`	Empirically Identifying and Computationally Modeling the Brain-Behavior Relationship for Human Scene Categorization. J. Cogn. Neurosci. Agnessa Karapetian, Antoniya Boyanova, Muthukumar Pandaram, Klaus Obermayer, Tim C. Kietzmann, Radoslaw Martin Cichy
2023	J	`jnl`	End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions. CoRR Zejin Lu, Adrien Doerig, Victoria Bosch, Bas Krahmer, Daniel Kaiser, Radoslaw Martin Cichy, Tim C. Kietzmann
2022	J	`jnl`	Semantic scene descriptions as an objective of human vision. CoRR Adrien Doerig, Tim C. Kietzmann, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Ian Charest
2021	J	`jnl`	Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization. CoRR Sushrut Thorat, Giacomo Aldegheri, Tim C. Kietzmann
2021	J	`jnl`	Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting. J. Cogn. Neurosci. Katherine R. Storrs, Tim C. Kietzmann, Alexander Walther, Johannes Mehrer, Nikolaus Kriegeskorte
2020	J	`jnl`	"All Around Me Are Synthetic Faces": The Mad World of AI-Generated Media. IT Prof. Lucas Whittaker, Tim C. Kietzmann, Jan Kietzmann, Amir Dabirian
2020	—	`conf`	Faces strongly attract early fixations in naturally sampled real-world stimulus materials. ETRA Short Papers Anna Lisa Gert, Benedikt V. Ehinger, Tim C. Kietzmann, Peter König
2020	J	`jnl`	Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision. PLoS Comput. Biol. Courtney J. Spoerer, Tim C. Kietzmann, Johannes Mehrer, Ian Charest, Nikolaus Kriegeskorte
2019	J	`jnl`	Learning robust visual representations using data augmentation invariance. CoRR Alex Hernández-García, Peter König, Tim C. Kietzmann
2019	J	`jnl`	Recurrence required to capture the dynamic computations of the human ventral visual stream. CoRR Tim C. Kietzmann, Courtney J. Spoerer, Lynn Sörensen, Radoslaw Martin Cichy, Olaf Hauk, Nikolaus Kriegeskorte
2019	J	`jnl`	Visualizing Representational Dynamics with Multidimensional Scaling Alignment. CoRR Baihan Lin, Marieke Mur, Tim C. Kietzmann, Nikolaus Kriegeskorte
2018	—	`conf`	Embodied cognition. BCI Peter König, Andrew Melnik, Caspar Goeke, Anna L. Gert, Sabine U. König, Tim C. Kietzmann
2017	—	`conf`	Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience. VISIGRAPP (4: VISAPP) Julius Schöning, Anna L. Gert, Alper Açik, Tim C. Kietzmann, Gunther Heidemann, Peter König
2017	J	`jnl`	Representational Dynamics of Facial Viewpoint Encoding. J. Cogn. Neurosci. Tim C. Kietzmann, Anna L. Gert, Frank Tong, Peter König
2016	J	`jnl`	Extensive training leads to temporal and spatial shifts of cortical activity underlying visual category selectivity. NeuroImage Tim C. Kietzmann, Benedikt V. Ehinger, Danja Porada, Andreas K. Engel, Peter König
2009	J	`jnl`	Computational object recognition: a biologically motivated approach. Biol. Cybern. Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller
2009	C	`conf`	The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting. ICMLA Tim C. Kietzmann, Martin A. Riedmiller
2008	J	`jnl`	Incremental GRLVQ: Learning relevant features for 3D object recognition. Neurocomputing Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller