generative-brain-dynamics-models
CommunityMulti-scale brain dynamics modeling made modular.
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This framework provides a structured approach to generative brain dynamics modeling, integrating microscopic neuron dynamics, mesoscopic neural mass models, and macroscopic brain networks to enable hypothesis testing, simulation, and data-driven fitting.
Core Features & Use Cases
- Multi-scale modeling across micro, meso, and macro scales with modular components (NeuralMassModel, DynamicCausalModel, DataDrivenModel, HybridGenerativeModel).
- Flexible experimentation and comparison workflows to assess different dynamical hypotheses and generate synthetic data.
- Useful for computational neuroscience research, brain network analysis, and mechanistic hypothesis validation across related domains.
Quick Start
Run a quick brain dynamics comparison by configuring DynamicsConfig and calling example_brain_dynamics to see model outputs.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: generative-brain-dynamics-models Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#generative-brain-dynamics-models Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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