Computational neuroimaging of real-life listening

Vittoria De Angelis

Research output: ThesisDoctoral ThesisInternal

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Abstract

Hearing has a crucial role in our life, guiding our behavior and helping us to decide how to react to occurring events. This thesis investigates the perception of real-life sounds and scenes by combining computational models of auditory processing and high-field fMRI. Results reveal the neural computations by which the brain derives higher-level semantic information (e.g. category) from the sounds and how the brain uses this information to process and distinguish concurrent sounds. The findings provide a relevant step forward to understanding the fundamental computations underlying human hearing and inspiring novel computational algorithms and architectures for artificial hearing.
Original languageEnglish
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Formisano, Elia, Supervisor
  • de Martino, Federico, Advisor
Award date10 Apr 2019
Place of PublicationMaastricht
Publisher
Print ISBNs9789402814125
DOIs
Publication statusPublished - 2019

Keywords

  • Hearing
  • computational auditory processing models
  • high-field fMRI

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