Tim C. Kietzmann
Orcid: 0000-0001-8076-6062
According to our database1,
Tim C. Kietzmann
authored at least 23 papers
between 2008 and 2023.
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Bibliography
2023
Empirically Identifying and Computationally Modeling the Brain-Behavior Relationship for Human Scene Categorization.
J. Cogn. Neurosci., November, 2023
Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment.
CoRR, 2023
Balancing stability and plasticity in continual learning: the readout-decomposition of activation change (RDAC) framework.
CoRR, 2023
Characterising representation dynamics in recurrent neural networks for object recognition.
CoRR, 2023
End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions.
CoRR, 2023
2022
Predictive coding is a consequence of energy efficiency in recurrent neural networks.
Patterns, 2022
2021
Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting.
J. Cogn. Neurosci., 2021
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization.
CoRR, 2021
2020
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision.
PLoS Comput. Biol., 2020
IT Prof., 2020
Faces strongly attract early fixations in naturally sampled real-world stimulus materials.
Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020
2019
CoRR, 2019
CoRR, 2019
Recurrence required to capture the dynamic computations of the human ventral visual stream.
CoRR, 2019
2018
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018
2017
Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017
2016
Extensive training leads to temporal and spatial shifts of cortical activity underlying visual category selectivity.
NeuroImage, 2016
2015
2009
Biol. Cybern., 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
2008
Neurocomputing, 2008