Tim C Kietzmann
Radboud Universiteit
H-index: 23
Europe-Netherlands
Top articles of Tim C Kietzmann
Computational characterization of the role of an attention schema in controlling visuospatial attention
arXiv preprint arXiv:2402.01056
2024/2/1
Empirically Identifying and Computationally Modeling the Brain–Behavior Relationship for Human Scene Categorization
Journal of Cognitive Neuroscience
2023/11/1
Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment
arXiv preprint arXiv:2310.05644
2023/10/9
Balancing stability and plasticity in continual learning: the readout-decomposition of activation change (RDAC) framework
arXiv preprint arXiv:2310.04741
2023/10/7
Characterising representation dynamics in recurrent neural networks for object recognition
arXiv preprint arXiv:2308.12435
2023/8/23
Sushrut Thorat
H-Index: 3
Tim C Kietzmann
H-Index: 16
End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions
arXiv preprint arXiv:2308.09431
2023/8/18
Daniel Kaiser
H-Index: 13
Tim C Kietzmann
H-Index: 16
Neural representation of occluded objects in visual cortex
Journal of Vision
2023/8/1
Scene representations underlying categorization behaviour emerge 100 to 200 ms after stimulus onset
Journal of Vision
2023/8/1
The neuroconnectionist research programme
2023/7
Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics
Journal of Neuroscience
2023/3/8
What did you expect? Prediction error tuning in sensory cortex
2023
David Richter
H-Index: 14
Tim C Kietzmann
H-Index: 16
The brain can’t copy-paste: End-to-end topographic neural networks as a way forward for modelling cortical map formation and behaviour
2023
Daniel Kaiser
H-Index: 13
Tim C Kietzmann
H-Index: 16
Keep moving: sensorimotor integration of fixational eye-movements yields human-like superresolution in recurrent neural networks
2023
Tim C Kietzmann
H-Index: 16
High-level prediction errors in low-level visual cortex
bioRxiv
2023
David Richter
H-Index: 14
Tim C Kietzmann
H-Index: 16
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
Behavioral and Brain Sciences
2023/12/6
Predictive coding is a consequence of energy efficiency in recurrent neural networks
Patterns
2022/12/9
Visual and semantic factors in object recognition
Journal of Vision
2022/12/5
Tim C Kietzmann
H-Index: 16
WildLab: A naturalistic free viewing experiment reveals previously unknown electroencephalography signatures of face processing
European Journal of Neuroscience
2022/12
Semantic scene descriptions as an objective of human vision
arXiv preprint arXiv:2209.11737
2022/9/23
From photos to sketches-how humans and deep neural networks process objects across different levels of visual abstraction
Journal of vision
2022/2/1
Tim C Kietzmann
H-Index: 16
Co-Authors
