| A cuda-mpi hybrid bitonic sorting algorithm for gpu clusters S White, N Verosky, T Newhall 2012 41st International Conference on Parallel Processing Workshops, 588-589, 2012 | 24 | 2012 |
| Pitches that wire together fire together: Scale degree associations across time predict melodic expectations NJ Verosky, E Morgan Cognitive science 45 (10), e13037, 2021 | 6 | 2021 |
| Corpus-based learning of tonal expectations with expectation networks NJ Verosky Journal of New Music Research 48 (2), 145-158, 2019 | 4 | 2019 |
| Interpreting the tonal hierarchy through corpus analysis. NJ Verosky Psychomusicology: Music, Mind, and Brain 31 (2), 96, 2021 | 3 | 2021 |
| Hierarchizability as a predictor of scale candidacy NJ Verosky Music Perception: An Interdisciplinary Journal 34 (5), 515-530, 2017 | 2 | 2017 |
| Associative Learning of an Unnormalized Successor Representation N Verosky PsyArXiv, 2023 | | 2023 |
| Spatial Frequency and Category Representation in Convolutional Neural Networks N Verosky, OS Cheung OSF, 2023 | | 2023 |
| Temporal-spatial configuration of musical notation: Distinguishing visual and conceptual influences on expert and novice performance NJ Verosky, OS Cheung Journal of Vision 23 (9), 5646-5646, 2023 | | 2023 |
| Musical expectancy and visual complexity in processing of musical notes by novices and experts N Verosky, OS Cheung OSF, 2023 | | 2023 |
| Essen as a Corpus of Early Musical Experience NJ Verosky Empirical Musicology Review 17 (2), 154-164, 2022 | | 2022 |
