| Time series forecasting of air quality based on regional numerical modeling in Hong Kong T Liu, AKH Lau, K Sandbrink, JCH Fung Journal of Geophysical Research: Atmospheres 123 (8), 4175-4196, 2018 | 64 | 2018 |
| Task-driven hierarchical deep neural network models of the proprioceptive pathway KJ Sandbrink, P Mamidanna, C Michaelis, MW Mathis, M Bethge, ... BioRxiv, 2020.05. 06.081372, 2020 | 18 | 2020 |
| Contrasting action and posture coding with hierarchical deep neural network models of proprioception KJ Sandbrink, P Mamidanna, C Michaelis, M Bethge, MW Mathis, ... Elife 12, e81499, 2023 | 6 | 2023 |
| Learning the value of control with deep RL K Sandbrink, L Hunt, C Summerfield 2023 Conference on Cognitive Computational Neuroscience, 2023 | 2 | 2023 |
| Modelling cognitive flexibility with deep neural networks K Sandbrink, C Summerfield Current Opinion in Behavioral Sciences 57, 101361, 2024 | | 2024 |
| Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection L Nasvytis, K Sandbrink, J Foerster, T Franzmeyer, CS de Witt arXiv preprint arXiv:2404.07099, 2024 | | 2024 |
| Children prioritize purely exploratory actions in observe-vs.-bet tasks E Yiu, K Sandbrink, A Gopnik Workshop on Intrinsically Motivated Open-Ended Learning (NeurIPS-W 2023), 2023 | | 2023 |
| DLC2Kinematics: a post-deeplabcut module for kinematic analysis AM M Mathis, J Lauer, T Nath, K Sandbrink, M Beauzile, S Hausmann, S Schneider https://zenodo.org/doi/10.5281/zenodo.6669073, 2020 | | 2020 |
| Proprioceptive tuning emerges in a task-driven hierarchical deep neural network model AM Kai Sandbrink, Pranav Mamidanna, Claudio Michaelis, Mackenzie Mathis ... Computational and Systems Neuroscience Meeting (COSYNE 2020), 2020 | | 2020 |
