music-perception-brain-network

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.