Singing requires effortless and efficient use of auditory and motor systems that center around the perception and production of the human voice. Although perception and production are usually tightly coupled functions, occasional mismatches between the two systems inform us of dissociable pathways in the brain systems that enable singing. Here I review the literature on perception and production in the auditory modality, and propose a dual-stream neuroanatomical model that subserves singing. I will discuss studies surrounding the neural functions of feedforward, feedback, and efference systems that control vocal monitoring, as well as the white matter pathways that connect frontal and temporal regions that are involved in perception and production. I will also consider disruptions of the perception-production network that are evident in tone-deaf individuals and poor pitch singers. Finally, by comparing expert singers against other musicians and nonmusicians, I will evaluate the possibility that singing training might offer rehabilitation from these disruptions through neuroplasticity of the perception-production network. Taken together, the best available evidence supports a model of dorsal and ventral pathways in auditory-motor integration that enables singing and is shared with language, music, speech, and human interactions in the auditory environment.

KNOWLEDGE OF MUSICAL RULES AND STRUCTURES HAS been reliably demonstrated in humans of different ages, cultures, and levels of music training, and has been linked to our musical preferences. However, how humans acquire knowledge of and develop preferences for music remains unknown. The present study shows that humans rapidly develop knowledge and preferences when given limited exposure to a new musical system. Using a nontraditional, unfamiliar musical scale (Bohlen-Pierce scale), we created finite-state musical grammars from which we composed sets of melodies.After 25-30 min of passive exposure to the melodies, participants showed extensive learning as characterized by recognition, generalization, and sensitivity to the event frequencies in their given grammar, as well as increased preference for repeated melodies in the new musical system. Results provide evidence that a domain-general statistical learning mechanism may account for much of the human appreciation for music.

MUSIC ELICITS PROFOUND EMOTIONS; HOWEVER, THE time-course of these emotional responses during listening sessions is unclear. We investigated the length of time required for participants to initiate emotional responses ("integration time") to 138 musical samples from a variety of genres by monitoring their real-time continuous ratings of emotional content and arousal level of the musical excerpts (made using a joystick). On average, participants required 8.31 s ( SEM = 0.10) of music before initiating emotional judgments. Additionally, we found that: 1) integration time depended on familiarity of songs; 2) soul/funk, jazz, and classical genres were more quickly assessed than other genres; and 3) musicians did not differ significantly in their responses from those with minimal instrumental musical experience. Results were partially explained by the tempo of musical stimuli and suggest that decisions regarding musical structure, as well as prior knowledge and musical preference, are involved in the emotional response to music.