Tim C. Kietzmann

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 18

Top Topics

Multidimensional Scaling

Scene Categorization

Visual Representations

Top Venues

J. Cogn. Neurosci.

VISIGRAPP (4: VISAPP)

Publications

Daniel Anthes, Sushrut Thorat, Peter König, Tim C. Kietzmann
Balancing stability and plasticity in continual learning: the readout-decomposition of activation change (RDAC) framework. CoRR (2023)
Zejin Lu, Adrien Doerig, Victoria Bosch, Bas Krahmer, Daniel Kaiser, Radoslaw Martin Cichy, Tim C. Kietzmann
End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions. CoRR (2023)
Agnessa Karapetian, Antoniya Boyanova, Muthukumar Pandaram, Klaus Obermayer, Tim C. Kietzmann, Radoslaw Martin Cichy
Empirically Identifying and Computationally Modeling the Brain-Behavior Relationship for Human Scene Categorization. J. Cogn. Neurosci. 35 (11) (2023)
Daniel Anthes, Sushrut Thorat, Peter König, Tim C. Kietzmann
Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment. CoRR (2023)
Sushrut Thorat, Adrien Doerig, Tim C. Kietzmann
Characterising representation dynamics in recurrent neural networks for object recognition. CoRR (2023)
Adrien Doerig, Tim C. Kietzmann, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Ian Charest
Semantic scene descriptions as an objective of human vision. CoRR (2022)
Sushrut Thorat, Giacomo Aldegheri, Tim C. Kietzmann
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization. CoRR (2021)
Katherine R. Storrs, Tim C. Kietzmann, Alexander Walther, Johannes Mehrer, Nikolaus Kriegeskorte
Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting. J. Cogn. Neurosci. 33 (10) (2021)
Anna Lisa Gert, Benedikt V. Ehinger, Tim C. Kietzmann, Peter König
Faces strongly attract early fixations in naturally sampled real-world stimulus materials. ETRA Short Papers (2020)
Courtney J. Spoerer, Tim C. Kietzmann, Johannes Mehrer, Ian Charest, Nikolaus Kriegeskorte
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision. PLoS Comput. Biol. 16 (10) (2020)
Lucas Whittaker, Tim C. Kietzmann, Jan Kietzmann, Amir Dabirian
"All Around Me Are Synthetic Faces": The Mad World of AI-Generated Media. IT Prof. 22 (5) (2020)
Baihan Lin, Marieke Mur, Tim C. Kietzmann, Nikolaus Kriegeskorte
Visualizing Representational Dynamics with Multidimensional Scaling Alignment. CoRR (2019)
Tim C. Kietzmann, Courtney J. Spoerer, Lynn Sörensen, Radoslaw Martin Cichy, Olaf Hauk, Nikolaus Kriegeskorte
Recurrence required to capture the dynamic computations of the human ventral visual stream. CoRR (2019)
Alex Hernández-García, Peter König, Tim C. Kietzmann
Learning robust visual representations using data augmentation invariance. CoRR (2019)
Peter König, Andrew Melnik, Caspar Goeke, Anna L. Gert, Sabine U. König, Tim C. Kietzmann
Embodied cognition. BCI (2018)
Tim C. Kietzmann, Anna L. Gert, Frank Tong, Peter König
Representational Dynamics of Facial Viewpoint Encoding. J. Cogn. Neurosci. 29 (4) (2017)
Julius Schöning, Anna L. Gert, Alper Açik, Tim C. Kietzmann, Gunther Heidemann, Peter König
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) (2017)
Tim C. Kietzmann, Benedikt V. Ehinger, Danja Porada, Andreas K. Engel, Peter König
Extensive training leads to temporal and spatial shifts of cortical activity underlying visual category selectivity. NeuroImage 134 (2016)
Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller
Computational object recognition: a biologically motivated approach. Biol. Cybern. 100 (1) (2009)
Tim C. Kietzmann, Martin A. Riedmiller
The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting. ICMLA (2009)
Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller
Incremental GRLVQ: Learning relevant features for 3D object recognition. Neurocomputing 71 (13-15) (2008)