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 language | English |
---|---|
Awarding Institution |
|
Supervisors/Advisors |
|
Award date | 10 Apr 2019 |
Place of Publication | Maastricht |
Publisher | |
Print ISBNs | 9789402814125 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- Hearing
- computational auditory processing models
- high-field fMRI