Publications: MR Tom Kaplan

Naderi H, Kaplan T, Duijvenboden SV, Pujadas ER, Aung N, A Chahal CA, Lekadir K, Chamling B et al. ( 2025 ) . 6-015 Deep learning to predict left ventricular hypertrophy from the electrocardiogram . Conference: Imaginga186.2 - a1a188 .

Cannon J, Kaplan T ( 2024 ) . Inferred representations behave like oscillators in dynamic Bayesian models of beat perception . Journal of Mathematical Psychology vol. 122 ,

Clemente A, Kaplan TM, Pearce MT ( 2024 ) . Perceptual representations mediate effects of stimulus properties on liking for music . Annals of the New York Academy of Sciences

Kaplan T, Jamone L, Pearce M ( 2023 ) . Probabilistic modelling of microtiming perception . Cognition vol. 239 ,

Kaplan T, Cannon J, Jamone L, Pearce M ( 2022 ) . Modeling enculturated bias in entrainment to rhythmic patterns . PLOS Computational Biology vol. 18 , ( 9 )

Kaplan T, Chew E . Detecting Low Frequency Oscillations in Cardiovascular Signals Using Gradient Frequency Neural Networks . 2016 Computing in Cardiology Conference (CinC) . Conference: 2019 Computing in Cardiology Conference (CinC) vol. 45 ,

Kaplan T, Chew E ( 2019 ) . Detecting Low Frequency Oscillations in Cardiovascular Signals Using Gradient Frequency Neural Networks . Computing in Cardiology . vol. 2019-September ,

Bower F, Atser D, Kaplan T, Sarvestani MG, Pearce M . Abstract representations underlie rhythm perception and production: Evidence from a probabilistic model of temporal structure . Cognition

Damsma A, Cannon J, Fink L, Doelling KB, Grahn JA, Honing H, Kaplan T, Large E et al. . Computational Modeling of Rhythmic Expectations: Perspectives, Pitfalls, and Prospects .

Kaplan T, Jamone L, Pearce MT . Probabilistic modelling of microtiming perception .