Research

Hagenaars, J.J., Wu, Y., Paredes-Vallades, F., Stroobants, S., de Croon, G.C.H.E. (2025). On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17114–17123.

Berger, M., Verstegen, R., van Essen, H., & Bernhaupt, R. (2025). Tangible interfaces for collaborative TV control: effects on social connectedness, team cohesion, and social user experience. Interacting with Computers, 37(3), 189-206.

Lingam, S. N., Petermeijer, S. M., Obaid, M., & Martens, M. (2025). Towards public-drone interactions: Communicating delivery intentions to recipients and bystanders. IFIP Conference on Human–Computer Interaction, 317–321. Cham: Springer Nature Switzerland.

Lingam, S. N., Petermeijer, S. M., Obaid, M., & Martens, M. (2025). DroDelivery: User-centered concepts for intent-based communications of a delivery drone in public spaces. Adjunct Proceedings of the 27th International Conference on Mobile Human–Computer Interaction, 1–9.

Lingam, S. N., Verstegen, R., Petermeijer, S. M., & Martens, M. (2025). Human interactions with delivery drones in public spaces: Design recommendations from recipient and bystander perspectives. Frontiers in Robotics and AI, 12, 1580289.

Lingam, S. N., Petermeijer, S. M., Torre, I., Bazilinskyy, P., Ljungblad, S., & Martens, M. (2025). Behavioral effects of a delivery drone on feelings of uncertainty: A virtual reality experiment. ACM Transactions on Human–Robot Interaction, 14(4), 1–27.

Lingam, S. N., Franssen, M., Petermeijer, S. M., & Martens, M. (2025). Challenges and future directions for human–drone interaction research: An expert perspective. International Journal of Human–Computer Interaction, 41(12), 7905–7921.

K.A. Mustafa, E. Trevisan, G. Notten, X. Wang, and J. Alonso-Mora, "DRA-MPPI: Dynamic risk-aware MPPI for mobile robots in crowds via efficient monte carlo approximation.", The IEEE International Conference on Intelligent Robots and Systems (IROS), 2025.

R. Chiva Gil, K.A. Mustafa, D. Jarne Ornia, and J. Alonso-Mora, "Predictability awareness for efficient and robust multi-agent coordination.", The International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2025.

V Romano, M van Driessche, N van Wingerden, S Bauer, B Boeser, JF Mejias, CI De Zeeuw. Stage-dependent cerebrocerebellar communication during sensorimotor processing. Nature Communications 16 (1), 8812, 2025.

TS Wierda, S Dora, CMA Pennartz, JF Mejias. Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making. PLOS Computational Biology 21 (10), e1013559, 2025.

K Lee, CMA Pennartz, JF Mejias. Cortical networks with multiple interneuron types generate oscillatory patterns during predictive coding. PLOS Computational Biology 21 (9), e1013469, 2025.

L Beerendonk, JF Mejías, SA Nuiten, JW de Gee, JB Zantvoord, JJ Fahrenfort, S van Gaal. Adaptive arousal regulation: Pharmacologically shifting the peak of the Yerkes–Dodson curve by catecholaminergic enhancement of arousal. Proceedings of the National Academy of Sciences 122 (28), e2419733122, 2025.

G Moreni, RA Dorcioman, CMA Pennartz, JF Mejias. Cell-type-specific firing patterns in a V1 cortical column model depend on feedforward and feedback-driven states. PLOS Computational Biology 21 (4), e1012036, 2025.

Liu, JJ, Cooke JRH, Selen LPJ, Medendorp WP (2025) Visuoinertial and visual feedback in online steering control. PLoS Computational Biology 21:e1012659.

Gebregiorgis, A., Yousefzadeh, A., Eissa, S., Siddiqi, M.A., Frenkel, C., Zenke, F., Bohte, S., Mahmoud, A.N., Das, A., Hamdioui, S. and Corporaal, H., 2025. Spike-based neuromorphic computing: An overview from bio-inspiration to hardware architectures and learning mechanisms. Microprocessors and Microsystems, p.105240.

Sun, T. and Bohté, S., 2025, July. Uncertainty-Aware Spiking Neural Networks for Regression. In 2025 International Conference on Neuromorphic Systems (ICONS) (pp. 195-201). IEEE.

Van Den Berg, A.R., Roelfsema, P.R. and Bohte, S.M., 2025, June. Curriculum Design for Scalable Biologically Plausible Deep Reinforcement Learning. In 2025 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

Zhang, M., Chitic, R. and Bohté, S.M., 2025. Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model. PLoS Computational Biology, 21(6), p.e1013112.

Willemsen SCMJ, Oostwoud Wijdenes L, van Beers RJ, Koppen M, Medendorp WP. Central tendency and serial dependence in vestibular path integration. J Neurophysiol. 2024 Oct 3. doi: 10.1152/jn.00271.2024. Online ahead of print.

Sutter K, Oostwoud Wijdenes L, van Beers RJ, Claassen JAHR, Kessels RPC, Medendorp WP. Early-Stage Alzheimer's Disease Affects Fast But Not Slow Adaptive Processes in Motor Learning. eNeuro. 2024 Jun 21;11(6):ENEURO.0108-24.2024. doi: 10.1523/ENEURO.0108-24.2024.

Peviani VC, Miller LE, Medendorp WP. Biases in hand perception are driven by somatosensory computations, not a distorted hand model. Curr Biol. 2024 May 20;34(10):2238-2246.e5. doi: 10.1016/j.cub.2024.04.010.

Miller LE, Fabio C, de Vignemont F, Roy A, Medendorp WP, Farnè A. A Somatosensory Computation That Unifies Limbs and Tools. eNeuro. 2023 Nov 20;10(11):ENEURO.0095-23.2023. doi: 10.1523/ENEURO.0095-23.2023.

Karadachka K, Assem M, Mitchell DJ, Duncan J, Medendorp WP, Mars RB. Structural connectivity of the multiple demand network in humans and comparison to the macaque brain. Cereb Cortex. 2023 Nov 4;33(22):10959-10971. doi: 10.1093/cercor/bhad314.

Visser YF, Medendorp WP, Selen LPJ. Muscular reflex gains reflect changes of mind in reaching. J Neurophysiol. 2023 Sep 1;130(3):640-651. doi: 10.1152/jn.00197.2023.

L Beerendonk, JF Mejias, SA Nuiten, JW de Gee, JJ Fahrenfort, S van Gaal. A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal. Proceedings of the National Academy of Sciences 121 (5), e2312898121, 2024.

M van Holk, JF Mejias. Biologically plausible models of cognitive flexibility: merging recurrent neural networks with full-brain dynamics. Current Opinion in Behavioral Sciences 56, 101351, 2024.

Mészáros, A., Schumann, J. F., Alonso-Mora, J., Zgonnikov, A., & Kober, J. (2024, June). TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction. In 2024 IEEE Intelligent Vehicles Symposium (IV) (pp. 184-191). IEEE.

Mészáros, A., Schumann, J. F., Alonso-Mora, J., Zgonnikov, A., & Kober, J. (2024). Rome: Robust multi-modal density estimator. In 33rd International Joint Conference on Artificial Intelligence (pp. 4751-4759).

K. Mustafa, D. Jarne Ornia, J. Kober, and J. Alonso-Mora, “RACP: Risk-aware contingency planning for multi-modal predictions.,” IEEE Transactions on Intelligent Vehicles (T-IV), 2024.

Lingam, S. N., Franssen, M., Petermeijer, S. M., & Martens, M. (2024). Challenges and Future Directions for Human-Drone Interaction Research: An Expert Perspective. International Journal of Human–Computer Interaction, 1-17. https://doi.org/10.1080/10447318.2024.2400756

Lingam, S. N., Petermeijer, B., Torre, I., Bazilinskyy, P., Ljungblad, S., & Martens, M. (2024). Behavioural Effects of a Medical Delivery Drone on Feelings of Uncertainty: A Virtual Reality Experiment. Under review at THRI journal. https://doi.org/10.13140/RG.2.2.18986.02246

Lingam, S. N., Verstegen, R., Petermeijer, S. M., & Martens, M. (2025). Human Interactions With Delivery Drones in Public Spaces: Design Recommendations From Recipient and Bystander Perspectives. Under review at CHI 2025 conference.

Lingam, S. N., Verstegen, R., Petermeijer, S. M., & Martens, M. (2024). Design of delivery drone and the public space: A public user perspective. Accepted at HAI coference 2024.

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.