Research

My research explores how the brain extracts meaningful representations from complex temporal stimuli, such as music. Some relevant publications:

• Verosky, N. J., & Morgan, E. (2025). Temporal dependencies in event onsets and event content contain redundant information about musical meter. Cognition, 263. [Web]
• Verosky, N. J. (2024). Associative learning of an unnormalized successor representation. Neural Computation, 36(7), 1410-1423. [Web]
• Verosky, N. J. (2022). Essen as a corpus of early musical experience. Empirical Musicology Review, 17(2), 154-164. [Web]
  • See also, Kragness, H. E. (2022). Developmental considerations in children’s song exposure: A commentary on Verosky (2022). Empirical Musicology Review, 17(2). 165-168. [Web]
• Verosky, N. J., & Morgan, E. (2021). Pitches that wire together fire together: Scale degree associations across time predict melodic expectations. Cognitive Science, 45(10). [Web]
• Verosky, N. J. (2021). Interpreting the tonal hierarchy through corpus analysis. Psychomusicology: Music, Mind, and Brain. [Web]
• Verosky, N. J. (2019). Corpus-based learning of tonal expectations with expectation networks. Journal of New Music Research, 48(2), 145-158. [Web]
• Verosky, N. J. (2017). Hierarchizability as a predictor of scale candidacy. Music Perception, 34(5), 515-530. [PDF] [Web]