Publications

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Preprints

Kietzmann, T.C., McClure, P., & Kriegeskorte, N. (2017). Deep Neural Networks In Computational Neuroscience. bioRxiv, 133504 [Article]


Journal Publications

Kietzmann, T.C., Gert, A.L., & König, P. (2017). Representational dynamics of facial viewpoint encoding. Journal of Cognitive Neuroscience, 4, p. 637-651 [Article] [PDF]

Wilming, N., Kietzmann, T.C., Jutras, M., Xue, C., Treue, S., Buffalo, E., & König, P. (2017). Differential contribution of low and high-level image content to eye movements in monkeys and humans. Cerebral Cortex, 27(1), p. 279-293 [Article]

Wilming, N., Onat, S., Ossandón, J.P., Açık, A., Kietzmann, T.C., Kaspar, K., Gameiro, R.R., Vormberg, A., König, P. (2017). An extensive dataset of eye movements during viewing of complex images. Nature Scientific Data, 4, p. 1-11 [Article] [PDF]

König, P., Wilming, N., Kietzmann, T.C., Ossandón, J.P., Onat, S., Ehinger, V.E., Gameiro, R.R., & Kaspar, K. (2016). Eye movements as a window to cognitive processes. Journal of Eye Movement Research, 9(5):3, p. 1-16 [Article]

Kietzmann, T.C., Ehinger, B.V., Porada, D., Engel, A., & König, P. (2016). Extensive Training Leads to Temporal and Spatial Shifts of Cortical Activity Underlying Visual Category Selectivity, NeuroImage, 134, p. 22–34 [Article]

Kietzmann, T.C., Poltoratski, S., König, P., Blake, R., Tong, F., & Ling, S. (2015). The Occipital Face Area Is Causally Involved in Facial Viewpoint Perception, Journal of Neuroscience, 35(50), p. 16398-16403 [Article] [PDF]

Kietzmann, T.C., & König, P. (2015). Effects of Contextual Information and Stimulus Ambiguity on Overt Visual Sampling Behavior, Vision Research, 110, p.76-86 [Article]

Kietzmann, T.C., Swisher, J., König, P., & Tong, F. (2012). Prevalence of Selectivity for Mirror-Symmetric Views of Faces in the Ventral and Dorsal Visual Pathways, Journal of Neuroscience, 32 (34), p. 11763-11772 [Article] [PDF]

Kietzmann, T.C., Geuter, S., & König, P. (2011). Overt Visual Attention as a Causal Factor of Perceptual Awareness, Plos One, 6(7), p. 1-9 [Article] [PDF]

Wilming, N., Betz, T., Kietzmann, T.C., & König, P. (2011). Measures and limits of models of fixation selection, Plos One 6(9), p. 1-19 [Article] [PDF]

Kietzmann, T.C., & König, P. (2010). Perceptual learning of parametric face categories leads to the integration of high-level class-based information but not to high-level pop-out, Journal of Vision, 10(13), p.1-14 [Article]

Betz, T., Kietzmann, T.C., Wilming, N., & König, P. (2010). Investigating Task-Dependent Top-Down Effects on Overt Visual Attention, Journal of Vision, 10(3), p. 1-14 [Article]

Kietzmann, T.C., Lange, S. & Riedmiller, M. (2009). Computational Object Recognition: A Biologically Motivated Approach, Biological Cybernetics, 100, p. 59-79 [Article]

Kietzmann, T.C., Lange, S. & Riedmiller, M. (2008). Incremental GRLVQ: The Case of Object Recognition, Neurocomputing, 71, p. 2868-2879 [Article]


Conference Contributions

Sörensen, L.K.A., Kietzmann, T.C., Cichy R.M., Hauk, O., & Kriegeskorte, N. (2017). Representational dynamics of object processing in source-reconstructed MEG data. International Conference of Cognitive Neuroscience, Amsterdam

Mehrer, J., Kietzmann, T.C., & Kriegeskorte, N. (2017). Deep Neural Networks Trained on Ecologically Relevant Categories Better explain human IT. Cognitive Computational Neuroscience Meeting, New York

Gert, A.L., Kietzmann, T.C., Noll, P., & König, P. (2017). Development of a step sensor interface for mobile EEG experiments. International Conference of Cognitive Neuroscience, Amsterdam

Sörensen, L.K.A., Kietzmann, T.C., Cichy R.M., Hauk, O., & Kriegeskorte, N. (2017). What can source-reconstructed MEG data tell us about representational dynamics during object perception? cuttingEEG 2017, Glasgow

Kietzmann, T.C., Hauk, O., & Kriegeskorte, N. (2017). A cross-validation approach to estimate the relative signal- and noise-content of ICA components. MEG UK 2017, Oxford

Schöning, J., Gert, A.L., Acik, A., Kietzmann, T.C., Heidemann, G., & König, P. (2016). Exploratory Multimodal Data Analysis with Standard Multimedia Player. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Ehinger BV, Kietzman T.C., Porada D, Engel A.K., & König P. (2016). A spatiotemporal analysis of MEG Adaptation Paradigms applied to extensive Visual Category Learning. Organization for Human Brain Mapping Meeting

Gert A.L., Kietzmann T.C., & König P. (2016). Face-responsive ERP components show time-varying viewing angle preferences. European Conference on Visual Perception

Ossandón J.P., Kietzmann T.C., Timm S, König P. (2015). A direct electrophysiological demonstration of object based sensory processing. European Conference on Visual Perception

Kietzmann, T.C., Gert, A.L., & König, P. (2015). Representational dynamics of facial viewpoint encoding. Vision Science Society Meeting 2015

Kietzmann, T.C., Ling, S., Poltoratski, S., König, P., Blake, R., & Tong, F. (2014). The Occipital Face Area is Causally Involved in Viewpoint Symmetry Judgments of Faces. Vision Science Society Meeting 2014

Kietzmann, T.C., Ehinger, B., Porada, D., Engel, A., & König. P. (2013). Perceptual Learning Leads to Category Selectivity 100ms after Stimulus Onset. European Conference on Visual Perception 2013

Kietzmann, T.C., Wahn, B., König, P., & Tong, F. (2013). Face selective areas in the human ventral stream exhibit a preference for 3/4 views in the fovea and periphery. European Conference on Visual Perception 2013

Kietzmann, T.C., Ehinger, B., Porada, D., Engel, A., & König. P. (2013). From stimulus onset to category selectivity in 100ms: category-selective visually evoked responses as a result of extensive category learning. Vision Science Society Meeting 2013

Kietzmann, T.C., Swisher, J., König, P., & Tong, F. (2012). Selectivity for Mirror- Symmetric Views of Faces in the Ventral and Dorsal Streams of the Human Visual System. Vision Science Society Meeting 2012

Kietzmann, T.C., & König, P. (2010). Parametric Faces in Pop-Out Paradigm – When Class Information Becomes a Feature. KogWis 2010

Kietzmann, T.C. (2009). Philosophical Accounts of Causal Explanation and the Scientific Practice of Psychophysics. EPSA Philosophy of Science: Amsterdam 2009, Chapter 11, p.1-11

Kietzmann, T.C., & Riedmiller, M. (2009). The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting, International Conference on Machine Learning and Applications 2009

Schreiber, C., Betz, T., Wilming, N., Kietzmann, T.C., & König, P. (2009). Task-effects on Viewing Behavior Examined in School Children. 8th Göttingen Meeting of the German Neuroscience Society 2009

Kietzmann, T.C., Geuter S., & König, P. (2009). The Role of Overt Visual Attention in the Process of Perceptual Formation. Rovereto Attention Workshop 2009

Geuter S., Kietzmann, T.C., & König, P. (2009). Pupil Dilation at the Time of Perceptual Events and Decision-Making. Rovereto Attention Workshop 2009


Book Chapters

König, P., Kühnberger, K.U., & Kietzmann, T.C. (2014). A unifying approach to high- and low-level cognition. In Models, Simulations, and the Reduction of Complexity. (pp. 117-141). De Gruyter


Invited Talks

Kietzmann, T.C. (2017). Machine Learning and Representational Similarity Analysis in Cognitive Neuroscience – 2 day workshop. Karolinska Institute, Stockholm, Sweden

Kietzmann, T.C. (2016). Dynamic RSA. MRC CBU Methods Day, Cambridge, UK

Kietzmann, T.C. (2016). Viewpoint Invariance in the Brain. Center for Cognitive Neuroscience Berlin Seminar Series, FU Berlin, Berlin, Germany

Kietzmann, T.C. (2016). Visual Invariance in the Brain. SPECS – Synthetic, Perceptive, Emotive and Cognitive Systems group, Universitat Pompeu Fabra, Barcelona, Spain

Kietzmann, T.C. (2011). The When and the Where of Perceptual Categorization. Category Laboratory, Vanderbilt University, Nashville, USA

Kietzmann, T.C. (2010). Hierarchical Models of Object Recognition. Vanderbilt Vision Research Center, Vanderbilt University, Nashville, USA

Kietzmann, T.C. (2009). From Biological Findings to Computational Object Recognition Systems. Models For Invariant Object Recognition and Categorization Symposium, Bochum International Graduate School of Neuroscience, Bochum, Germany