Publications of Katja Seeliger

Journal Article (5)

2024
Journal Article
Seeliger, K.; Hebart, M. N.: What comparing deep neural networks can teach us about human vision. Nature Machine Intelligence 6, pp. 122 - 123 (2024)
2023
Journal Article
Golan, T.; Taylor, J.; Schütt, H.; Peters, B.; Sommers, R. P.; Seeliger, K.; Doerig, A.; Linton, P.; Konkle, T.; van Gerven, M. et al.; Kording, K.; Richards, B.; Kietzmann, T. C.; Lindsay, G. W.; Kriegeskorte, N.: Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses. Behavioral and Brain Sciences 46, e392 (2023)
Journal Article
Doerig, A.; Sommers, R. P.; Seeliger, K.; Richards, B.; Ismael, J.; Lindsay, G. W.; Kording, K. P.; Konkle, T.; van Gerven, M. A. J.; Kriegeskorte, N. et al.; Kietzmann, T. C.: The neuroconnectionist research programme. Nature Reviews Neuroscience 24 (7), pp. 431 - 450 (2023)
2022
Journal Article
Le, L.; Ambrogioni, L.; Seeliger, K.; Güçlütürk, Y.; van Gerven, M.; Güçlü, U.: Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity. Frontiers in Neuroscience 16, 940972 (2022)
2021
Journal Article
Seeliger, K.; Ambrogioni, L.; Güçlütürk, Y.; van den Bulk, L. M.; Güçlü, U.; van Gerven, M. A. J.: End-to-end neural system identification with neural information flow. PLoS Computational Biology 17 (2), e1008558 (2021)

Meeting Abstract (1)

2021
Meeting Abstract
Seeliger, K.; Roth, J.; Schmid, T.; Hebart, M. N.: Synthesizing preferred stimuli for individual voxels in the human visual system. In Journal of Vision, 21, 2311. Scholar One, Inc., Charlottesville, VA (2021)

Talk (6)

2023
Talk
Seeliger, K.: Leveraging massive fMRI data sets and deep learning to synthesize images preferred by higher visual system areas. Neural Coding Lab (Umut Güçlü), Donders Institute, Radboud University, Nijmegen, the Netherlands (virtual) (2023)
Talk
Seeliger, K.: Leveraging massive fMRI data sets and deep learning to synthesize images preferred by higher visual system areas. Bradley Love Lab, Division of Psychology and Language Sciences, University College London, United Kingdom (2023)
Talk
Seeliger, K.: Leveraging massive fMRI data sets and deep learning to synthesize images preferred by higher visual system areas. Retreat of Neural Dynamics of Visual Cognition Lab (Radoslaw Cichy, FU Berlin), Eberswalde, Germany (2023)
Talk
Seeliger, K.: Leveraging massive fMRI data sets and deep learning to synthesize images preferred by higher visual system areas. Roelfsema Group, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands (2023)
2021
Talk
Seeliger, K.: Convolutional neural networks and visual information processing. Osnabrück Search Symposium Computational Neuroscience , Virtual (2021)
Talk
Seeliger, K.: A large single-participant fMRI dataset for probing brain responses to naturalistic stimuli in space and time. Symposium on Naturalistic Stimuli in Cognitive Neuroscience, Virtual (2021)

Poster (9)

2023
Poster
Seeliger, K.; Leipe, R.; Roth, J.; Hebart, M. N.: Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data. Neuro-AI-Talks (NEAT), Osnabrück, Germany (2023)
Poster
Seeliger, K.; Leipe, R.; Roth, J.; Hebart, M. N.: Investigating high-level visual cortex preferences through neural network training on large neuroimaging data. Salzburg Mind Brain Meeting (SAMBA), Salzburg, Austria (2023)
Poster
Seeliger, K.; Leipe, R.; Roth, J.; Hebart, M. N.: Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data. 23rd Annual Meeting of the Vision Science Society (VSS), St. Pete Beach, FL, USA (2023)
Poster
Contier, O.; Fujimori, S.; Seeliger, K.; Ratan Murty, N. A.; Hebart, M. N.: Revealing interpretable object dimensions from a high-throughput model of the fusiform face area. 23rd Annual Meeting of the Vision Science Society (VSS), St. Pete Beach, FL, USA (2023)
Poster
St-Laurent, M.; Pinsard, B.; Contier, O.; Seeliger, K.; Borghesani, V.; Boyle, J.; Bellec, P.; Hebart, M. N.: Cneuromod-things: A large-scale fMRI dataset for task-and data-driven assessment of object representation and visual memory recognition in the human brain. 23rd Annual Meeting of the Vision Science Society (VSS), St. Pete Beach, FL, USA (2023)
2022
Poster
Mahner, F.; Seeliger, K.; Umut, G.; Hebart, M. N.: Learning cortical magnification with brain-optimized convolutional neural networks. Conference on Cognitive Computational Neuroscience, San Francisco, CA, USA (2022)
2021
Poster
Seeliger, K.: Synthesizing preferred stimuli for individual voxels in the human visual system. Vision Sciences Society (V-VSS), Virtual (2021)
Poster
Roth, J.; Seeliger, K.; Schmid, T.; Hebart, M. N.: Preferred stimuli for individual voxels in the human visual system. 2021 Computational and Systems Neuroscience (Cosyne), Virtual (2021)
Go to Editor View