Katja Seeliger

Max Planck Institute for Human Cognitive and Brain Sciences — Germany

Neuroscience · Life Sciences

12h-index818citations38works0.62yr avg
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Research Topics

Neural dynamics and brain function(14), Face Recognition and Perception(14), Visual perception and processing mechanisms(10), Visual Attention and Saliency Detection(9), Functional Brain Connectivity Studies(7)

Publications38 total

CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience
Scientific Data·2026Open Access
Neural network-based encoding in free-viewing fMRI with gaze-aware models
2025Open Access
Neural encoding with affine feature response transforms
arXiv (Cornell University)·2025Open Access
Inverse receptive field attention for naturalistic image reconstruction from the brain
arXiv (Cornell University)·2025Open Access
What comparing deep neural networks can teach us about human vision
Nature Machine Intelligence·2024· 3 cited
What comparing deep neural networks can teach us about human vision
2024· 1 citedOpen Access
MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
2024
Revealing interpretable object dimensions from a high-throughput model of the fusiform face area
Journal of Vision·2023· 1 citedOpen Access
cneuromod-things : a large-scale fMRI dataset for task- and data-driven assessment of object representation and visual memory recognition in the human brain
Journal of Vision·2023· 1 citedOpen Access
Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data
Journal of Vision·2023Open Access
The neuroconnectionist research programme
Nature reviews. Neuroscience·2023· 219 citedOpen Access
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
2023· 4 citedOpen Access
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
Behavioral and Brain Sciences·2023· 8 cited
The role of gaze position in training visual brain encoders on free-viewing data
Journal of Vision·2022Open Access
Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity
Frontiers in Neuroscience·2022· 18 citedOpen Access
The neuroconnectionist research programme
arXiv (Cornell University)·2022· 24 citedOpen Access
From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstraction
Journal of Vision·2022· 21 citedOpen Access
Learning Cortical Magnification with Brain-Optimized Convolutional Neural Networks
2022 Conference on Cognitive Computational Neuroscience·2022Open Access
Training BigGAN on an ecologically motivated image dataset
2022 Conference on Cognitive Computational Neuroscience·2022Open Access
Synthesizing preferred stimuli for individual voxels in the human visual system
Journal of Vision·2021· 3 citedOpen Access
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Frequent Co-authors

Marcel van Gerven(22), Umut Güçlü(15), Martin N. Hebart(12), Yağmur Güçlütürk(11), Tim C. Kietzmann(6), Luca Ambrogioni(6), Sander Bosch(5), Lynn Le(5), Adrien Doerig(4), Rowan P. Sommers(4), Konrad P. Körding(4), Talia Konkle(4), Nikolaus Kriegeskorte(4), Johannes Singer(3), Oliver Contier(3), Marie St‐Laurent(3), Thirza Dado(3), Paolo Papale(3), Antonio Lozano(3), Pieter R. Roelfsema(3)