Katja Seeliger - researchr alias

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Viewing Publication 1 - 5 from 5

2021

End-to-end neural system identification with neural information flowKatja Seeliger, Luca Ambrogioni, Yagmur Güçlütürk, L. M. van den Bulk, Umut Güçlü, Marcel A. J. van Gerven. ploscb, 17(2), 2021. [doi]

2019

Current Advances in Neural DecodingMarcel A. J. van Gerven, Katja Seeliger, Umut Güçlü, Yagmur Güçlütürk. In Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller, editors, Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Volume 11700 of Lecture Notes in Computer Science, pages 379-394, Springer, 2019. [doi]

2018

Generative adversarial networks for reconstructing natural images from brain activityKatja Seeliger, Umut Güçlü, Luca Ambrogioni, Yagmur Güçlütürk, Marcel A. J. van Gerven. neuroimage, 181:775-785, 2018. [doi]

Convolutional neural network-based encoding and decoding of visual object recognition in space and timeKatja Seeliger, M. Fritsche, Umut Güçlü, Sanne Schoenmakers, Jan-Mathijs Schoffelen, Sander Bosch, Marcel van Gerven. neuroimage, 180(Part):253-266, 2018. [doi]

2017

Reconstructing perceived faces from brain activations with deep adversarial neural decodingYagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob van Lier, Marcel A. J. van Gerven. nips 2017: 4249-4260 [doi]

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