Mathematical modelling and data-driven multiscale analysis (A06)

• Subject Area: Mathematics
• Term: since 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 299150580

Mathematical methods are established for parameter-dependent, data-driven multiscale analyses. The focus is on creating a comprehensive computational model of the basal ganglia network to study movement disorders and improve their medical treatment. For deep brain stimulation, closed-loop control strategies are proposed that adjust stimulation based on real-time measurements of neuronal activity. Measurement data from multi-electrode arrays is analysed using nonlinear methods to gain a deeper medical understanding of how network structure and dynamics influence activity patterns in movement disorders.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1270: ELectrically Active ImplaNts - ELAINE
• Applicant Institution: Universität Rostock
• Project Head: Professor Dr. Jens Starke