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ORCIDTim C. Kietzmann
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2020 – today
- 2023
[j9]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): 1879-1897 (2023)- [i9]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 abs/2308.09431 (2023) - [i8]Sushrut Thorat, Adrien Doerig, Tim C. Kietzmann:
Characterising representation dynamics in recurrent neural networks for object recognition. CoRR abs/2308.12435 (2023) - [i7]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 abs/2310.04741 (2023) - [i6]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 abs/2310.05644 (2023) - 2022
- [j8]Abdullahi Ali, Nasir Ahmad, Elgar de Groot, Marcel A. J. van Gerven, Tim Christian Kietzmann:
Predictive coding is a consequence of energy efficiency in recurrent neural networks. Patterns 3(12): 100639 (2022) - [i5]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 abs/2209.11737 (2022) - 2021
- [j7]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): 2044-2064 (2021) - [i4]Sushrut Thorat, Giacomo Aldegheri, Tim C. Kietzmann:
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization. CoRR abs/2111.07898 (2021) - 2020
- [j6]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): 90-99 (2020) - [j5]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) - [c4]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: 39:1-39:5
2010 – 2019
- 2019
- [i3]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 abs/1903.05946 (2019) - [i2]Alex Hernández-García, Peter König, Tim C. Kietzmann:
Learning robust visual representations using data augmentation invariance. CoRR abs/1906.04547 (2019) - [i1]Baihan Lin, Marieke Mur, Tim C. Kietzmann, Nikolaus Kriegeskorte:
Visualizing Representational Dynamics with Multidimensional Scaling Alignment. CoRR abs/1906.09264 (2019) - 2018
- [c3]Peter König, Andrew Melnik, Caspar Goeke, Anna L. Gert, Sabine U. König, Tim C. Kietzmann:
Embodied cognition. BCI 2018: 1-4 - 2017
- [j4]Tim C. Kietzmann, Anna L. Gert, Frank Tong, Peter König:
Representational Dynamics of Facial Viewpoint Encoding. J. Cogn. Neurosci. 29(4): 637-651 (2017) - [c2]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: 272-279 - 2016
- [j3]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: 22-34 (2016) - 2015
- [b1]Tim Christian Kietzmann:
Aspects of Object Recognition: Sampling, Invariance, and Plasticity. University of Osnabrück, Germany, 2015
2000 – 2009
- 2009
- [j2]Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller:
Computational object recognition: a biologically motivated approach. Biol. Cybern. 100(1): 59-79 (2009) - [c1]Tim C. Kietzmann, Martin A. Riedmiller:
The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting. ICMLA 2009: 311-316 - 2008
- [j1]Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller:
Incremental GRLVQ: Learning relevant features for 3D object recognition. Neurocomputing 71(13-15): 2868-2879 (2008)
Coauthor Index
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