Chimeric Music Reveals an Interaction of Pitch and Time in Electrophysiological Signatures of Music Encoding

T Tong Shan (College of New Materials and New Energies, Shenzhen Technology University 1 , Shenzhen 518118,) E Edmund C. Lalor R Ross K. Maddox

Abstract

Pitch and time are the essential dimensions defining musical melody. Recent electrophysiological studies have explored the neural encoding of musical pitch and time by leveraging probabilistic models of their sequences, but few have studied how the features might interact. This study examines these interactions by introducing “chimeric music,” which pairs two distinct melodies and exchanges their pitch contours and note onset times to create two new melodies, distorting musical pattern while maintaining the marginal statistics of the original pieces’ pitch and temporal sequences. Through this manipulation, we aimed to dissect the music processing and the interaction between pitch and time. Employing the temporal response function framework, we analyzed the neural encoding of melodic expectation and musical downbeats in participants with varying levels of musical training. Our findings from 27 participants of either sex revealed differences in the encoding of melodic expectation between original and chimeric stimuli in both dimensions, with a significant impact of musical experience. This suggests that decoupling the pitch and temporal structure affects expectation processing. In our analysis of downbeat encoding, we found an enhanced neural response when participants heard a note that aligned with the downbeat during music listening. In chimeric music, responses to downbeats were larger when the note was also a downbeat in the original music that provided the pitch sequence, indicating an effect of pitch structure on beat perception. This study advances our understanding of the neural underpinnings of music, emphasizing the significance of pitch–time interaction in the neural encoding of music.

Article Details

Volume / Issue Vol. 46, Issue 4
Published January 28, 2026
Pages e2083242025
ISSN 0270-6474
Publisher Society for Neuroscience

Journal Info

Journal of Neuroscience

Society for Neuroscience

ISSN: 0270-6474 Life Sciences

Authors (3)

T

Tong Shan

College of New Materials and New Energies, Shenzhen Technology University 1 , Shenzhen 518118,

E

Edmund C. Lalor

R

Ross K. Maddox