Multifrequency Hebbian Plasticity in Coupled Neural Oscillators

This computational study investigates how Hebbian learning rules operating across multiple frequency bands shape the plasticity of coupled neural oscillators. The model demonstrates that networks of oscillators can self-organize to respond selectively to complex rhythmic and harmonic stimuli through multifrequency coupling, providing a mechanistic account of how the brain learns to encode musical structure through experience.