LabVanced: A Unified JavaScript Framework for Online Studies H Finger, C Goeke, D Diekamp, K Standvoß, P König International Conference on Computational Social Science, 2017 | 152 | 2017 |
Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks K Standvoss, T Crijns, L Goerke, D Janssen, S Kern, T van Niedek, ... Medical imaging 2018: computer-aided diagnosis 10575, 314-321, 2018 | 16 | 2018 |
Encoding And Decoding Dynamic Sensory Signals With Recurrent Neural Networks: An Application Of Conceptors To Birdsongs R Gast, P Faion, K Standvoss, A Suckro, B Lewis, G Pipa bioRxiv, 131052, 2017 | 7 | 2017 |
Visual Attention Through Uncertainty Minimization in Recurrent Generative Models K Standvoss, SC Quax, MAJ van Gerven bioRxiv, 2020 | 5 | 2020 |
Taking shortcuts: Great for travel, but not for reproducible methods sections K Standvoss, V Kazezian, BR Lewke, K Bastian, S Chidambaram, S Arafat, ... bioRxiv, 2022 | 4 | 2022 |
Bimodal inference in humans and mice V Weilnhammer, H Stuke, K Standvoss, P Sterzer bioRxiv, 2021.08. 20.457079, 2022 | 2* | 2022 |
Uncertainty through Sampling: The Correspondence of Monte Carlo Dropout and Spiking in Artificial Neural Networks K Standvoss, L Grossberger Conference on Cognitive Computational Neuroscience, 2019 | 2 | 2019 |
Discourse Embellishment Using a Deep Encoder-Decoder Network L Berov, K Standvoss Computational Creativity and Natural Language Generation, 2018 | 2 | 2018 |
What just happend? Using a volatile Kalman filter to predict perceptual history biases K Standvoss, M Guggenmos, P Sterzer PERCEPTION 50 (1_ SUPPL), 12-12, 2021 | | 2021 |
Task-Dependent Attention Allocation through Uncertainty Minimization in Deep Recurrent Generative Models K Standvoss, S Quax, M van Gerven Conference on Cognitive Computational Neuroscience, 2019 | | 2019 |
Probabilistic Modeling of Perception and Cognition S Höffner, L Goerke, A Suckro, V Churavy, K Standvoss, JDF Jäkel | | |