Robust representation and non-linear spectral integration of simple and complex harmonic sounds in layers 4 and 2/3 of primary auditory cortex

Sound harmonicity is foundational in complex auditory stimuli like music and vocalizations but it remains unclear how such spectrally complex stimuli are processed in the auditory cortex (ACtx). Subregions of the auditory cortex process are thought to process harmonic stimuli differently, and secondary ACtx (A2) layer (L) 2/3 is believed to be the most selective. Selective responses to sound features in ACtx are thought to emerge hierarchically starting from A1 L4. Since the spectral complexity of harmonic stacks can range from two to more than ten components, harmonic selectivity and sensitivity might also arise hierarchically across layers and areas. We studied responses to simple and complex harmonic stacks across A1 L4, A1 L2/3, and A2 L2/3 in adult mice using in vivo two-photon microscopy. We found harmonic-sensitive neurons (HN) responding only to harmonic stacks but not to their pure-tone components in all areas at similar proportions. HNs showed non-linear processing of component tones with onset-responsive HNs showing greater nonlinearity, which decreased with harmonic complexity. Co-tuned HNs in A1 L4 exhibited the highest signal correlation, regardless of harmonic complexity. A1 L4 HNs also showed the lowest noise correlation with other neurons. Moreover, A1 L4 HNs achieve robust spectral integration and harmonic sensitivity by receiving diverse inputs and maintaining high signal correlation, ensuring independent, strong responses to harmonic stimuli. Therefore, harmonic sensitivity is present in A1 L4 and is not a unique feature of A2. Thus, tuning to complex spectral sounds is a fundamental property of ACtx and is already established in A1 L4.