Stochastic Resonance — Optimal Noise SNR

Stochastic Resonance

A subthreshold signal (amplitude A < threshold θ) normally cannot trigger a bistable system. Adding noise of optimal strength causes the noisy signal to cross the threshold in synchrony with the input — noise helps, not hurts.

Model: double-well potential V(x) = −x²/2 + x⁴/4. Langevin equation: ẋ = −V'(x) + A·sin(2πft) + ση(t). SNR is maximized at an optimal intermediate noise level — the hallmark of stochastic resonance. Observed in sensory neurons, photoreceptors, ion channels, and climate models.