Research
Please store all images related to research in this folder. Thanks!
- Pistohl et al. 2011 Graphical Abstract
- bmi_kontrollsignale.jpg
- doctor darling graphical abstract2.jpg
- highgamma.jpg
- insel_anatomie_from_wikipaedia2.jpg
- doktorarbeit_ball.png
- insel_mitkoaktivierung.png
- vh_wei_klein.bmp
- figure4_mhochglanz_weiss.bmp
- amygdala_subregions_responses.jpg
- axialAnatomyFieldGradients.png
- median vs. single trial EEG data
- BCI scheme
- Natural language decoding
- Faraday Cage 1
- Faraday Cage 2
- Movement High-gamma Ball 2008
- Multimodal_corpus
- Deep Convolutional Neural Network for EEG
- Visualization of trained convolutional neural network
- TBME2570743_780x435_summary.png
- BCI-neurobotics-figure.png
- neuroimage-2016-FEM
- Tumor Segmentation Interpretability: Importance
- Importance of parts of the input scans for the segmentation prediction.
- Tumor Segmentation Interpretability: Uncertainty
- Segmentation results for the three target classes (top) and uncertainty of the prediction (bottom).
- VR-Elicited Spectral Artifacts
- Comparison of EEG spectra in dependence of VR headset
- Schematic illustration of an intelligent neuromedical implant loop
- Schematic illustration of an intelligent neuromedical implant loop. Neural data input is acquired by electrophysiological measurement methods and forwarded to the implants’ processing unit. The outcome of the analysis and decoding of neural data controls the output of the intelligent implant for both modulation of brain activity via direct cortical electrical stimulation and/or BCI/BMI applications.
- vr_overview.png
- blood_seg_overview.png
- Implant1.png
- Implant2.png
- COVID-19 infections across Germany