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cubnm documentation
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Contents:

  • Installation
  • Tutorials
    • Basics of brain network modeling and running an example simulation
    • Homogeneous model optimization using grid search
    • Homogeneous model optimization using an evolutionary approach
    • Map-based heterogeneous model optimization using an evolutionary approach
    • Node-based heterogeneous model optimization using an evolutionary approach
    • Batch running of multiple optimizations in parallel
  • Models
  • API References
    • cubnm.sim
      • cubnm.sim.base
      • cubnm.sim.jr
      • cubnm.sim.kuramoto
      • cubnm.sim.rww
      • cubnm.sim.rwwex
      • cubnm.sim.wc
    • cubnm.datasets
    • cubnm.optimize
    • cubnm.utils
  • Command Line Interface
  • Contributing a New Model
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Models¶

The following models are available in cuBNM. For detailed equations and model characteristics, refer to the documentation of each model’s corresponding class.

Model Name

Class

Jansen-Rit

cubnm.sim.jr.JRSimGroup

Kuramoto

cubnm.sim.kuramoto.KuramotoSimGroup

Reduced Wong-Wang (Excitatory-Inhibitory)

cubnm.sim.rww.rWWSimGroup

Reduced Wong Wang (Excitatory)

cubnm.sim.rwwex.rWWExSimGroup

Wilson-Cowan

cubnm.sim.wc.WCSimGroup

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