Katja Seeliger

According to our database, Katja Seeliger authored at least 7 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

2019

Current Advances in Neural Decoding.

Marcel A. J. van Gerven, Katja Seeliger, Umut Güçlü, Yagmur Güçlütürk

Proceedings of the Explainable AI: Interpreting, 2019

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

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

Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability.

Marjolein Troost, Katja Seeliger, Marcel van Gerven

CoRR, 2018

2017

Deep adversarial neural decoding.

Yagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander E. Bosch, Rob van Lier, Marcel van Gerven

CoRR, 2017

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017