Andreas Spiegler

The paper combines brain simulations with machine learning to improve dementia classification by integrating PET and MRI data with simulated electrophysiological features.

The paper builds a mouse brain model to explore functional networks and sensory processing through in-silico stimulation, revealing spatial motifs and replicating in vivo dynamics.

The paper uses computational modeling to link molecular pathways with neural dynamics in Alzheimer’s disease, showing how Abeta burden affects brain activity and potential reversibility with memantine.