no code implementations • 8 Sep 2022 • Adrien Doerig, Rowan Sommers, Katja Seeliger, Blake Richards, Jenann Ismael, Grace Lindsay, Konrad Kording, Talia Konkle, Marcel A. J. van Gerven, Nikolaus Kriegeskorte, Tim C. Kietzmann
Artificial Neural Networks (ANNs) inspired by biology are beginning to be widely used to model behavioral and neural data, an approach we call neuroconnectionism.
no code implementations • NeurIPS Workshop SVRHM 2020 • Johannes Singer, Katja Seeliger, Martin N Hebart
Further, we show that a texture bias found in CNNs contributes both to the poor classification performance for drawings and the dissimilar representational structure, specifically in the later layers of the network.
no code implementations • 10 Feb 2018 • Marjolein Troost, Katja Seeliger, Marcel van Gerven
This will be an upper bound that depends on the structure of the data.
no code implementations • NeurIPS 2017 • Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob Van Lier, Marcel A. J. van Gerven
Here, we present a novel approach to solve the problem of reconstructing perceived stimuli from brain responses by combining probabilistic inference with deep learning.
1 code implementation • 19 May 2017 • Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob Van Lier, Marcel van Gerven
Here, we present a novel approach to solve the problem of reconstructing perceived stimuli from brain responses by combining probabilistic inference with deep learning.