Reconstructing perceived faces from brain activations with deep adversarial neural decoding. - Yagmur Güçlütürk; Umut Güçlü; Katja Seeliger; Sander E. Bosch; Rob van Lier; Marcel A. J. van Gerven (NIPS, 2017)

Deep adversarial neural decoding. - Yagmur Güçlütürk; Umut Güçlü; Katja Seeliger; Sander E. Bosch; Rob van Lier; Marcel van Gerven (CoRR, 2017)

Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability. - Marjolein Troost; Katja Seeliger; Marcel van Gerven (CoRR, 2018)

Convolutional neural network-based encoding and decoding of visual object recognition in space and time. - Katja Seeliger; M. Fritsche; Umut Güçlü; Sanne Schoenmakers; Jan-Mathijs Schoffelen; Sander E. Bosch; Marcel van Gerven (NeuroImage, 2018)

Generative adversarial networks for reconstructing natural images from brain activity. - Katja Seeliger; Umut Güçlü; Luca Ambrogioni; Yagmur Güçlütürk; Marcel A. J. van Gerven (NeuroImage, 2018)

Current Advances in Neural Decoding. - Marcel A. J. van Gerven; Katja Seeliger; Umut Güçlü; Yagmur Güçlütürk (Explainable AI, 2019)

End-to-end neural system identification with neural information flow. - Katja Seeliger; Luca Ambrogioni; Yagmur Güçlütürk; L. M. van den Bulk; Umut Güçlü; Marcel A. J. van Gerven (PLoS Comput. Biol., 2021)

MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity. - Lynn Le; Paolo Papale; Katja Seeliger; Antonio Lozano; Thirza Dado; Feng Wang; Pieter R. Roelfsema; Marcel A. J. van Gerven; Yagmur Güçlütürk; Umut Güçlü (NeurIPS, 2024)

What comparing deep neural networks can teach us about human vision. - Katja Seeliger; Martin N. Hebart (Nat. Mac. Intell., 2024)

CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience. - Marie St-Laurent; Basile Pinsard; Oliver Contier; Elizabeth DuPre; Katja Seeliger; Valentina Borghesani; Julie A. Boyle; Lune Bellec; Martin N. Hebart (CoRR, 2025)