A neural matrix model for active tracking of frequency-modulated tones

A previous paper (Aikawa et al., 1995) has shown that the dynamic process of perceiving frequency-modulated (FM) tones can be well simulated by a sound tracking model represented by second-order systems. This paper proposes a new neural operational model for tracking FM tones using a tonotopic neural matrix. The neural cells are connected to build up an auto-regressive architecture. This neural matrix model is characterized by a novel spectral interpolation algorithm based on Lp-norm. The new tracking model enables simultaneous tracking of multiple FM tones. This paper demonstrates that the neural tracking model can successfully simulate perceptual effect such as pitch bounce caused by crossed linear sweep tones. The perceptual overshoot effect is also reasonably explained