Article

PolyRNN: A time-resolved model of polyphonic musical expectations aligned with human brain responses

2024-11-29

Abstract excerpt

Musical expectations shape how we perceive and process music, yet current computational models are limited to monophonic or simplified stimuli. The study of the neural processes underlying musical expectations in real-world music therefore requires significant advances in our statistical modeling of these stimuli. We present PolyRNN, a recurrent neural network designed to model expectations in naturalistic, polyph...

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Literature Corpus work: fafd4e05-0878-522b-8381-2b230f434cb6
DOI: 10.1101/2024.11.27.625704

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