1 code implementation • biorxiv (currently under review) 2021 • Olivera Stojanovic, Bastian Siegmann, Thomas Jarmer, Gordon Pipa, Johannes Leugering
Environmental scientists often have to predict a complex phenomenon from a heterogeneous collection of datasets.
1 code implementation • 3 Feb 2021 • Viviane Clay, Peter König, Gordon Pipa, Kai-Uwe Kühnberger
Following this, the representations learned through interaction with the world can be used to associate semantic concepts such as different types of doors.
no code implementations • 22 Dec 2020 • Farbod N. Nezami, Maximilian A. Wächter, Nora Maleki, Philipp Spaniol, Lea M. Kühne, Anke Haas, Johannes M. Pingel, Linus Tiemann, Frederik Nienhaus, Lynn Keller, Sabine König, Peter König, Gordon Pipa
The presented project contains all needed functionalities for realistic traffic behavior, cars, and pedestrians, as well as a large, open-source, scriptable, and modular VR environment.
Human-Computer Interaction
1 code implementation • 28 Nov 2019 • Jona Carmon, Jil Heege, Joe H Necus, Thomas W Owen, Gordon Pipa, Marcus Kaiser, Peter N Taylor, Yujiang Wang
In terms of comparability, our results show substantial differences in the structural covariance matrix between data sets of age- and sex-matched healthy human adults.
Neurons and Cognition Quantitative Methods
no code implementations • 25 Sep 2019 • Viviane Clay, Peter König, Kai-Uwe Kühnberger, Gordon Pipa
How do humans acquire a meaningful understanding of the world with little to no supervision or semantic labels provided by the environment?
1 code implementation • medrxiv, PLOS ONE (under review) 2019 • Olivera Stojanović, Gordon Pipa
The resulting method yields a computationally and conceptually simple, interpretable model of EEG signals of preictal and interictal states, which shows a good performance for the task of seizure prediction.
1 code implementation • biorxiv, PLOS ONE (under review) 2019 • Olivera Stojanović, Johannes Leugering, Gordon Pipa, Stéphane Ghozzi, Alexander Ullrich
In this paper, a simple yet interpretable, probabilistic model is proposed for the prediction of reported case counts of infectious diseases.
no code implementations • 26 Jun 2018 • Leon René Sütfeld, Flemming Brieger, Holger Finger, Sonja Füllhase, Gordon Pipa
Since ABUs learn the shape, as well as the overall scaling of the activation function, we also analyze the effects of adaptive scaling in common activation functions.
1 code implementation • 10 Sep 2017 • Clemens Korndörfer, Ekkehard Ullner, Jordi García-Ojalvo, Gordon Pipa
Spike synchrony, which occurs in various cortical areas in response to specific perception, action and memory tasks, has sparked a long-standing debate on the nature of temporal organization in cortex.
Neurons and Cognition