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Tutorials and Guides

  • Tutorials
    • Installation
    • Quickstart
    • Choosing Models
    • Working with Units
    • Building Multi-Region Networks
    • Adding Coupling
    • Forward Modeling
    • Parameter Fitting
  • Examples
    • Getting Started with BrainMass
    • The Wilson-Cowan model
    • Wilson-Cowan Model: Limit Cycle Oscillations
    • The Hopf oscillator model
    • Jansen–Rit Single-Node Simulation
    • The FitzHugh-Nagumo Model
    • The Stuart-Landau Oscillator
    • The Van der Pol Oscillator
    • Comparing 2D Oscillators
    • Exploring Harmonic Oscillator Network Dynamics
    • The Wong-Wang Decision-Making Model
    • The QIF Mean-Field Model
    • Comprehensive Wilson-Cowan Model Variants: Simulation & Comparison
    • Modeling resting-state MEG data
    • Grid Search using vmap
    • Parameter Optimization with Nevergrad
    • Parameter Optimization with Scipy
  • Developer Guide
    • Contributing Guide
    • Architecture
    • Creating Custom Models
    • Extending Noise Processes
    • Testing
    • Documentation

Additional Resources

  • FAQ and Troubleshooting
  • API Reference
    • Neural Mass Models
      • HopfStep
      • VanDerPolStep
      • StuartLandauStep
      • KuramotoNetwork
      • FitzHughNagumoStep
      • ThresholdLinearStep
      • WilsonCowanStep
      • JansenRitStep
      • WongWangStep
      • MontbrioPazoRoxinStep
    • Noise Processes
      • GaussianNoise
      • WhiteNoise
      • OUProcess
      • BrownianNoise
      • ColoredNoise
      • PinkNoise
      • BlueNoise
      • VioletNoise
    • Coupling Mechanisms
      • DiffusiveCoupling
      • AdditiveCoupling
      • brainmass.diffusive_coupling
      • brainmass.additive_coupling
      • brainmass.laplacian_connectivity
      • brainmass.LaplacianConnParam
    • Forward Models
      • BOLDSignal
      • LeadFieldModel
      • EEGLeadFieldModel
      • MEGLeadFieldModel
    • HORN Models
      • HORNStep
      • HORNSeqLayer
      • HORNSeqNetwork
    • Utility Functions
      • brainmass.sys2nd
      • brainmass.sigmoid
      • brainmass.bounded_input
      • brainmass.process_sequence
  • Release Notes
  • .rst

Examples

Examples#

  • Getting Started with BrainMass
  • The Wilson-Cowan model
  • Wilson-Cowan Model: Limit Cycle Oscillations
  • The Hopf oscillator model
  • Jansen–Rit Single-Node Simulation
  • The FitzHugh-Nagumo Model
  • The Stuart-Landau Oscillator
  • The Van der Pol Oscillator
  • Comparing 2D Oscillators
  • Exploring Harmonic Oscillator Network Dynamics
  • The Wong-Wang Decision-Making Model
  • The QIF Mean-Field Model
  • Comprehensive Wilson-Cowan Model Variants: Simulation & Comparison
  • Modeling resting-state MEG data
  • Grid Search using vmap
  • Parameter Optimization with Nevergrad
  • Parameter Optimization with Scipy

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Parameter Fitting

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Getting Started with BrainMass

By BrainX Ecosystem

© Copyright 2024-2026, brainmass.

Last updated on May 23, 2026.

BrainX Ecosystem

An open, differentiable ecosystem for brain simulation. We build the foundations the next decade of computational neuroscience will run on.

Platform

  • Full-Scale Simulation
  • AI Compatibility
  • Differentiable Optimization
  • Powered by JAX

Documentation

  • brainunit
  • brainstate
  • braincell
  • brainevent
  • All 9 packages →

Research

  • Papers about BrainX
  • Papers using BrainX
  • Papers citing BrainX
  • How to cite →

Community

  • Contributors
  • Discussions
  • Issue tracker
  • Get involved
© 2026 BrainX Developers · How to cite →
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