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music-perception-brain-network

Predict neural network dynamics modulated by auditory stimulation using FitzHugh–Nagumo network with empirical connectivity.

2|Updated Feb 12, 2026
Search Tags:#brain-network#music-perception#neural-synchronization#fitzhugh-nagumo#gamma-coherence#auditory-stimulus#empirical-connectivity
One-click install
npx skills add https://github.com/hiyenwong/ai_collection --skill music-perception-brain-network
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: music-perception-brain-network
Source: https://github.com/hiyenwong/ai_collection/tree/main/collection/skills/music-perception-brain-network
Command: npx skills add https://github.com/hiyenwong/ai_collection --skill music-perception-brain-network

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This methodological framework models how auditory stimulation modulates neural network dynamics using a FitzHugh-Nagumo network and empirical brain connectivity, enabling exploration of synchronization, frequency, and amplitude relationships in music perception.

Core Features & Use Cases

  • FHN-based brain-network modeling for music perception studies.
  • Integration of empirical connectivity data to simulate realistic dynamics.
  • Analysis tools for synchronization index and gamma-band coherence to study phase relationships.
  • Use Case: Researchers can simulate auditory stimuli and observe how network synchronization and gamma coherence respond to different frequencies.

Quick Start

Run the model with your own connectivity data and an auditory stimulus to observe synchronization dynamics in response to varying frequencies.

Frequently Asked Questions about music-perception-brain-network

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does the FitzHugh-Nagumo model simulate auditory stimulus effects on brain network dynamics?▼

The FitzHugh-Nagumo model simulates auditory stimulus effects by applying a generated auditory input to an empirical brain connectivity network, allowing you to observe resulting neural synchronization and gamma coherence patterns.

How do I model gamma coherence in music perception studies?▼

You model gamma coherence in music perception by running parameter sweeps over stimulation frequency and network coupling on an empirical connectivity matrix, then applying the built-in synchronization and phase dynamics metrics.

Can I use my own empirical connectivity data for neural synchronization simulations?▼

Yes, you can integrate your own empirical connectivity data to simulate realistic neural dynamics, observing how the network synchronization index responds to varying auditory stimulation frequencies.

What is the best way to study phase transitions in a brain network during auditory stimulation?▼

To study phase transitions during auditory stimulation, perform parameter sweeps over network coupling and topology using the FitzHugh-Nagumo framework to map synchronization patterns and phase relationship changes.

Does this brain network model support parameter sweeps for stimulation frequency and network topology?▼

Yes, the framework supports parameter sweeps over stimulation frequency, network coupling, and topology to study synchronization patterns, phase transitions, and gamma-band coherence in music perception.

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