People

Luke E. Miller 

Principal Investigator

Luke joined the Donders Centre for Cognition as an Assistant Professor of Sensorimotor Neuroscience in the fall of 2021. He previously had postdoctoral fellowships at the Donders Institute (w/ Pieter Medendorp) and at the ImpAct Team in Lyon, France (w/ Alessandro Farnè). It was during this time that he began researching the neural and computational mechanisms underlying the sensory embodiment of tools—the ability to use them as somatosensory extensions of the body. His current research aims to uncover the computational principles underlying neural body representation and their plasticity. He currently teaches an MSc course in the Artificial Intelligence department on sensorimotor neurotechnology, which among other things covers the principles of neural prosthetics and brain machine interfaces.

Bob Bramson

Postdoctoral Researcher

Bob Bramson joined BBT as a postdoctoral researcher in May 2025. His work will use MEG and computational modelling to explore how existing neural body models fuse with representations of body augmentations, such as exoskeletal fingers. Before joining BBT, Bob completed a PhD and post-doc in the Experimental Psychology and Psychopathology lab led by prof. Karin Roelofs (Donders Center for Cognitive NeuroImaging), where he studied how humans control automatic emotional actions. From 2026 onwards Bob will be funded by a VENI grant from NWO, in which he will combine peri-personal space manipulations with reinforcement learning to understand how different neural systems are involved in learning about the value of actions. 

Matteo Girondini

Postdoctoral Fellow

Matteo Girondini is a postdoctoral fellow funded by the Swiss National Science Foundation (SNSF). He joined the BBT Lab in April 2026, where he investigates the role of sensory substitution modalities in sensorimotor augmentation technologies. His research combines psychophysics, motion-tracking, and electrophysiological methods to examine how the embodiment of the exoskeleton finger depends on the type of sensory feedback provided during training. Matteo completed his PhD at the University of Milano-Bicocca under the supervision of Prof. Alberto Gallace. His doctoral research focused on sensorimotor remapping and its effects on body representation. Following his PhD, he worked as a postdoctoral researcher at the MySpace Lab at the University Hospital of Lausanne, under the supervision of Prof. Andrea Serino.

Huseyin Orkun-Elmas

PhD Student

Hüseyin is a PhD student in the BBT Lab at Donders Institute for Brain Cognition and Behavior. He completed his MSc in neuroscience at Bilkent University, under the supervision of Dr. Burcu Aysen Urgen. During his MSC he investigated how prior information influences biological motion perception, utilizing EEG and behavioral experiments. Now at Donders Institute, Hüseyin's research focus has pivoted to tactile localization. He's deeply interested in modeling the computational mechanisms that underlie tactile localization in both 2D and 3D spaces. His overarching goal is to decipher the neural implementations of these computations.

Floris van Wettum

PhD Student

Floris is a PhD student in the BBT Lab at Donders Institute for Brain Cognition and Behavior. He completed his MSc in the Artificial Intelligence Department at Radboud University under the supervision of Luke and Prof Medendorp. For his thesis project, he explored how sensory substitution can be leveraged to create an additional sense of body space, and whether this additional sense follows computational rules of multisensory integration. For his PhD research, Floris will explore the computational principles of body augmentation, looking specifically at 1) how finger-extending exoskeletons become functionally fused to representations of the body, and 2) whether this finger-exo fusion is driven by sensory feedback.

Thomas Kooiman

Master's Student – Artificial Intelligence

Thomas is currently completing his MSc in the Artificial Intelligence Department at Radboud University. For his thesis project, he will investigate how the sensorimotor system incorporates artificial force feedback signals into the control of finger-extending exoskeletons. He will specifically look at whether this incorporation depends upon the encoding model used, and will model the behavior of participants using the Optimal Feedback Control framework.

Chris Vajdík

Master's Student – Artificial Intelligence

Chris is currently completing their MSc in the Artificial Intelligence Department at Radboud University. For their thesis project, Chris is exploring the ethics of sensorimotor technology. Their specific focus will be on the importance of including affected populations (e.g., amputees; paraplegics; etc.) in the co-creation of restoration devices.

Remi van Casteren

Master's Student – Cognitive Neuroscience

Remi is currently completing his MSc in Cognitive Neuroscience at Radboud University. For his thesis, Remi will explore the neural correlates of tactile remapping. Specifically, he will combine eye-centered tactile spatial judgments with concurrent EEG recording with the aim of identifying neural responses that reflect the underlying reference frame computations of tactile localization.

Vonne von den Berg

Master's Student – Cognitive Neuroscience

Vonne is currently completing her MSc in Cognitive Neuroscience at Radboud University. For her thesis, Vonne will explore the neural correlates of internal model learning during body augmentation. Specifically, she will combine a propriocetive mapping paradigm and EEG, along with computational tools, to identify oscillatory signatures of learning and uncertainty during exoskeleton use.

Tim van de Pol

Master's Student – Artificial Intelligence

Tim is currently completing his MSc in Artificial Intelligence at Radboud University. For his thesis, Tim will investigate the learning principles underlying the control of a supernumerary robotic arm. He is especially interested in the use of sensory substitution to provide the controller with a sense of the SRA's posture, and will use optimal feedback control modelling to identify how this information becomes integrated into sensorimotor control loops.

Femke van Venrooij

Master's Student – Artificial Intelligence

Femke is currently completing her MSc in Artificial Intelligence at Radboud University. For her thesis, Femke will investigate the neural correlates of tactile remapping for touch on a hand-held tool, with a specific focus on whether space-based neural responses are similar to tactile remapping on the hands. She will be adapting our recently published high-density crossed hands paradigm to the case of crossing hand-held rods.