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Research output can have many forms, from scientific papers to white papers to open source software to demonstrators.
Rudolph JL, Selen LPJ, Medendorp WP. Plan- versus motion-referenced generalization of fast and slow processes in reach adaptation. J Neurophysiol. 2023 Apr 1;129(4):767-780. doi: 10.1152/jn.00294.2022. Epub 2023 Mar 8. PMID: 36883742.
Teunissen L, Selen LPJ, Medendorp WP. Abrupt, but not gradual, motor adaptation biases saccadic target selection. J Neurophysiol. 2023 Mar 1;129(3):733-748. doi: 10.1152/jn.00223.2022. Epub 2023 Feb 22. PMID: 36812151.
Keyser J, Medendorp WP, Oostwoud Wijdenes L, Selen LPJ. Late integration of vision and proprioception during perturbed reaches. J Neurophysiol. 2023 Jun 1;129(6):1282-1292. doi: 10.1152/jn.00324.2022. Epub 2023 Apr 19. PMID: 37073978.
Klautke J, Foster C, Medendorp WP, Heed T. Dynamic spatial coding in parietal cortex mediates tactile-motor transformation. Nat Commun. 2023 Jul 27;14(1):4532. doi: 10.1038/s41467-023-39959-4. PMID: 37500625; PMCID: PMC10374589.
Paredes-Vallés, F., Hagenaars, J., Dupeyroux, J., Stroobants, S., Xu, Y., & de Croon, G. (2023). Fully neuromorphic vision and control for autonomous drone flight. arXiv preprint arXiv:2303.08778.
A. Mészáros, J. Alonso-Mora and J. Kober, “TrajFlow: Learning the Distribution over Trajectories” at 5th Workshop on Long-term Human Motion Prediction at IEEE Int. Conf. on Robotics and Automation, 2023
Sun, T., Yin, B., & Bohte, S. (2023). Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. In: Proceedings of the International Conference of Artificial Neural Networks (ICANN), (arXiv preprint arXiv:2304.10191).
Yin, B., Corradi, F., & Bohté, S. M. (2023). Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. Nature Machine Intelligence, 1-10.
K. Mustafa, O. de Groot, X. Wang, J. Kober and J. Alonso-Mora, “Probablistic risk assessment for chance-constrained collision avoidance in certain dynamic environments.,” IEEE International Conference on Robotics and Automation (ICRA 2023).
Hagenaars, J., Paredes-Vallés, F., & De Croon, G. (2021). Self-supervised learning of event-based optical flow with spiking neural networks. Advances in Neural Information Processing Systems, 34, 7167-7179.