Explore how fundamental neural mechanisms shape musical perception through real-time parameter control. Adjust the controls below to experience how different neurodynamic principles influence musical affect and structure.
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Neural Resonance Visualization
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Select a control above to see its detailed description and neural theory explanation.
Ready - Neural oscillators initialized
Neural Resonance Theory Principles
Neural Oscillation & Entrainment
Brain rhythms synchronize with musical pulse, creating embodied temporal experience through delta/theta entrainment.
Nonlinear Resonance
Neural oscillators generate frequencies not present in input, enabling perception of "missing fundamentals" and complex harmonies.
Dynamic Stability
Simple integer ratios (2:1, 3:2) create stable neural states perceived as consonant, while complex ratios generate tension.
Time-delayed feedback in neural systems creates anticipatory responses, explaining groove and motor synchronization.
Tonal Hierarchies
Frequency relationships create "gravitational" attraction patterns, with stable tones pulling unstable ones toward resolution.
Extended NRT Composition Structure
Part 1: Neural Entrainment
Establishes stable neural oscillation patterns with clear pulse and simple harmonic ratios
Transition 1: Adaptation
Gradual neural adaptation introduces complexity while maintaining entrainment
Part 2: Mode-locking Complexity
Explores complex polyrhythmic relationships and dissonant frequency ratios
Transition 2: Destabilization
Neural systems pushed beyond stable mode-locking regions
Part 3: Oscillator Coupling
Demonstrates strong coupling effects and emergent synchronization patterns
Transition 3: Hebbian Strengthening
Learned patterns from earlier sections resurface with increased stability
Part 4: Dynamic Resolution
Return to highly stable neural states with enhanced tonal attraction
Implementation Notes:
Just Intonation: Frequencies calculated using precise integer ratios rather than equal temperament
Additive Synthesis: Complex timbres built from multiple sine wave partials with NRT-informed relationships
Mode-Locking: Rhythmic patterns designed around integer ratio relationships for neural synchronization
Missing Fundamental: Higher harmonics played without root to demonstrate nonlinear neural processing
Anticipatory Timing: Micro-timing offsets explore delayed self-feedback and groove perception
This demonstration applies core NRT principles to generative composition. Real neural dynamics involve far greater complexity, but these simplified models capture key theoretical predictions about musical cognition and embodied experience.