Tim C Kietzmann
Tim C Kietzmann
Institute of Cognitive Science, University of Osnabrück
Verified email at - Homepage
Cited by
Cited by
Recurrence is required to capture the representational dynamics of the human visual system
TC Kietzmann, CJ Spoerer, LKA Sörensen, RM Cichy, O Hauk, ...
Proceedings of the National Academy of Sciences 116 (43), 21854-21863, 2019
Deepfakes: Trick or treat?
J Kietzmann, LW Lee, IP McCarthy, TC Kietzmann
Business Horizons 63 (2), 135-146, 2020
Artificial intelligence (AI) and its implications for market knowledge in B2B marketing
J Paschen, J Kietzmann, TC Kietzmann
Journal of business & industrial marketing, 2019
Deep neural networks in computational neuroscience
TC Kietzmann, P McClure, N Kriegeskorte
Oxford Research Encyclopedia of Neuroscience, 1-28, 2019
Investigating task-dependent top-down effects on overt visual attention
T Betz, TC Kietzmann, N Wilming, P Koenig
Journal of vision 10 (3), 15-15, 2010
Individual differences among deep neural network models.
TC Mehrer, J., Spoerer, C. J., Kriegeskorte, N. & Kietzmann
Nature Communications 11 (1), 5725, 2020
Prevalence of selectivity for mirror-symmetric views of faces in the ventral and dorsal visual pathways
TC Kietzmann, JD Swisher, P König, F Tong
Journal of Neuroscience 32 (34), 11763-11772, 2012
Measures and Limits of Models of Fixation Selection
N Wilming, T Betz, TC Kietzmann, P König
PloS one 6 (9), e24038, 2011
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision
CJ Spoerer, TC Kietzmann, J Mehrer, I Charest, N Kriegeskorte
PLoS computational biology 16 (10), e1008215, 2020
Eye movements as a window to cognitive processes
P König, N Wilming, TC Kietzmann, JP Ossandón, S Onat, BV Ehinger, ...
Journal of eye movement research 9 (5), 1-16, 2016
An ecologically motivated image dataset for deep learning yields better models of human vision
J Mehrer, CJ Spoerer, EC Jones, N Kriegeskorte, TC Kietzmann
Proceedings of the National Academy of Sciences 118 (8), e2011417118, 2021
Diverse deep neural networks all predict human inferior temporal cortex well, after training and fitting
KR Storrs, TC Kietzmann, A Walther, J Mehrer, N Kriegeskorte
Journal of Cognitive Neuroscience 33 (10), 2044-2064, 2021
An extensive dataset of eye movements during viewing of complex images
N Wilming, S Onat, JP Ossandón, A Açık, TC Kietzmann, K Kaspar, ...
Scientific data 4 (1), 1-11, 2017
Overt visual attention as a causal factor of perceptual awareness
TC Kietzmann, S Geuter, P König
PloS one 6 (7), e22614, 2011
Incremental GRLVQ: Learning relevant features for 3D object recognition
TC Kietzmann, S Lange, M Riedmiller
Neurocomputing 71 (13-15), 2868-2879, 2008
Self-reported sleep relates to hippocampal atrophy across the adult lifespan: results from the Lifebrain consortium
AM Fjell, Ĝ Sĝrensen, IK Amlien, D Bartrés-Faz, DM Bros, N Buchmann, ...
Sleep 43 (5), zsz280, 2020
Representational dynamics of facial viewpoint encoding
TC Kietzmann, AL Gert, F Tong, P König
Journal of cognitive neuroscience 29 (4), 637-651, 2017
“All around me are synthetic faces”: the mad world of AI-generated media
L Whittaker, TC Kietzmann, J Kietzmann, A Dabirian
IT Professional 22 (5), 90-99, 2020
The neuro slot car racer: Reinforcement learning in a real world setting
TC Kietzmann, M Riedmiller
2009 International Conference on Machine Learning and Applications, 311-316, 2009
The occipital face area is causally involved in facial viewpoint perception
TC Kietzmann, S Poltoratski, P König, R Blake, F Tong, S Ling
Journal of Neuroscience 35 (50), 16398-16403, 2015
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