Tutorials

• Basics of brain network modeling and running an example simulation
  • A primer on brain network modeling
  • Reduced Wong-Wang BNM
  • Run an example simulation of rWW BNM
  • Target functional empirical data
  • Goodness-of-fit to the target functional data
• Homogeneous model optimization using grid search
  • Running and saving the grid search
  • Visualization of the grid
  • Visualization of the optimal simulation
• Homogeneous model optimization using an evolutionary approach
  • Running and saving the CMA-ES optimization
  • Visualization of the optimization history
  • Visualization of the optimal simulation
• Map-based heterogeneous model optimization using an evolutionary approach
  • Loading the maps
  • Defining a map-based heterogeneous BNM problem
  • Running a single map-based heterogeneous simulation
  • Model optimization
  • Visualization of the optimization history
  • Visualization of the optimal simulation
• Node-based heterogeneous model optimization using an evolutionary approach
  • Loading the network assignments
  • Defining a node-based heterogeneous BNM problem
  • Model optimization
  • Visualization of the optimization history
  • Visualization of the optimal simulation
• Batch running of multiple optimizations in parallel
  • Loading the data
  • Running batch optimization
  • Visualization of the results
  • Limitations of batch optimization