Probabilistic learning of sequential structures in music cognition

Other NPIF · United Kingdom government procurement

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Opportunity Overview

Current computational models for how we perceive, and experience music are incomplete and are not empirically mapped onto the neural substrates by which people differentially translate complex auditory inputs into meaningful behaviours and experiences based on their unique previous musical exposures. Comprehensive AI models for how people perform this task are highly valuable because they can help us pinpoint precise neural and psychological aetiologies of complex aesthetic and emotional responses to a deeply personal and universally shared auditory phenomenon
The project main goal is to develop a fully representative computational model of music cognition.

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Solicitation Details

Issuing agencyOther NPIF
CountryUnited Kingdom
CategoryTraining & Education
PublishedSeptember 30, 2022
Procurement stageActive solicitation
ClosedClosing date not published
StatusClosed — no longer accepting responses
Official sourceView original notice
Last verifiedOctober 10, 2026

Source: UK Research and Innovation (UKRI) — Open Government Licence v3.0.

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