A5026826053- EEG and Brain-Computer Interfaces
- Insect and Arachnid Ecology and Behavior
- Virtual Reality Applications and Impacts
- Vehicle emissions and performance
- Neural dynamics and brain function
- Transportation Planning and Optimization
- Action Observation and Synchronization
- Spatial Neglect and Hemispheric Dysfunction
- Neuroscience and Neural Engineering
- Tactile and Sensory Interactions
- Olfactory and Sensory Function Studies
- Neurobiology and Insect Physiology Research
- Plant and animal studies
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Environmental Policies and Emissions
- Face Recognition and Perception
- Traffic control and management
- Advanced Memory and Neural Computing
Ruhr University Bochum
2020-2023
Universitätsklinikum Knappschaftskrankenhaus Bochum
2020-2021
University of Cologne
2000-2018
Johannes Gutenberg University Mainz
2014
The ability to process visual information using relational rules allows for decisions independent of the specific physical attributes individual stimuli. Until recently, manipulation concepts was considered as a prerogative large mammalian brains. Here we show that free flying honeybees can learn use size relationship choose either larger or smaller stimulus correct solution in given context, and subsequently apply learnt rule novel colors shapes providing there is sufficient input long...
The expertise of humans for recognizing faces is largely based on holistic processing mechanism, a sophisticated cognitive process that develops with visual experience. various features face are thus glued together and treated by the brain as unique stimulus, facilitating robust recognition. Holistic known to facilitate fine discrimination highly similar stimuli, involves specialized areas in other primates. Although most typically employed subjects can also learn apply image analysis...
Objective. Advancements in electrode design have resulted micro-electrode arrays with hundreds of channels for single cell recordings. In the resulting electrophysiological recordings, each implanted can record spike activity (SA) one or more neurons along background (BA). The aim this study is to isolate SA neural source. This process called sorting classification. Advanced algorithms are time consuming because human intervention at various stages pipeline. Current approaches lack...
We report the presence of a tingling sensation perceived during self-touch without physical stimulation. used immersive virtual reality scenarios in which subjects touched their body using object. This touch resulted corresponding to location on body. called it "phantom illusion" (PTI). Interestingly, illusion was also reported when invisible (inferred) parts limb. reason that this PTI results from tactile gating process if there is no input supress. The touching indicates not exclusively...
Generating continuous electroencephalography (EEG) signals through advanced artificial neural networks presents a novel opportunity to enhance brain-computer interface (BCI) technology. This capability has the potential significantly applications ranging from simulating dynamic brain activity and data augmentation improving real-time epilepsy detection BCI inference. By harnessing generative transformer networks, specifically designed for EEG signal generation, we can revolutionize...
Abstract We report the presence of a tingling sensation perceived during self touch without physical stimulation. used immersive virtual reality scenarios in which subjects touched their body using object. This resulted corresponding to location on body. called it “phantom illusion” (PTI). Interestingly illusion was also present when invisible (inferred) parts limb. reason that this PTI results from tactile gating process self-touch. The reported touching indicates is not exclusively based...
Abstract Invasive brain–computer-interfaces (BCIs) aim to improve severely paralyzed patient’s (e.g. tetraplegics) quality of life by using decoded movement intentions let them interact with robotic limbs. We argue that the performance in controlling an end-effector a BCI depends on three major factors: decoding error, missing somatosensory feedback and alignment error caused translation and/or rotation relative real or perceived body. Using virtual reality (VR) model ideal decoder healthy...