griffiths-phase-brain-criticality
CommunityBalance brain robustness and cognitive flexibility.
Education & Research#neuroscience#cognition#griffiths-phase#brain-criticality#complex-systems#network-modularity
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The Griffiths Phase Brain Criticality framework addresses how the brain operates near criticality across individuals by extending traditional critical-point models to incorporate network heterogeneity. It explains how regional excitability and modular structure jointly shape cognition, stability, and adaptability.
Core Features & Use Cases
- Models extending criticality with Griffiths phase to capture individual variability in brain networks.
- Predicts cognitive profiles by relating GP position to segregation and integration patterns.
- Supports research on brain network dynamics, robustness, and flexible cognition across populations.
- Real-world example: In studies comparing healthy controls and patients with neurodiverse conditions, this framework can explain why equivalent network architecture yields different cognitive performances, guiding targeted interventions and personalized theories of brain function.
Quick Start
Provide a structural connectivity matrix and regional excitability parameters to estimate the Griffiths phase position and predict cognitive profiles.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: griffiths-phase-brain-criticality Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#griffiths-phase-brain-criticality Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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