neutral-theory-neural-dynamics

Community

Model neural avalanches with neutral drift.

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 required

Components

Standard package

💻 Claude Code Installation

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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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