neutral-theory-neural-dynamics
CommunityModel neural avalanches with neutral drift.
Education & Research#simulation#data-analysis#neural-dynamics#brain-networks#neutral-theory#neural-avalanches#power-law
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Neural avalanche dynamics in brain networks is often interpreted as evidence of criticality; neutral theory offers an alternative explanation based on neutral drift, enabling researchers to model non-critical, scale-free-like activity without fine-tuning.
Core Features & Use Cases
- Analyze brain network avalanche distributions with a neutral-drift framework.
- Apply to neural dynamics modeling, criticality testing, and avalanche analysis in EEG/fMRI data.
- Use in research to compare neutral-drift predictions against criticality-based hypotheses.
Quick Start
Provide your neural activity data and run the NeutralNeuralDynamics.neutral_drift method to observe avalanche size distributions.
Dependency Matrix
Required Modules
None requiredComponents
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Please help me install this Skill: Name: neutral-theory-neural-dynamics Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#neutral-theory-neural-dynamics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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