Recognizing sound sources in the environment is a key function of the auditory system, and is fundamental to our well-being. Our brain achieves this feat by transforming what we hear into representations of the semantics of the sound source. The computational nature of this transformation is poorly understood. In this project, we will characterize it by measuring how three key properties of cerebral sound representations (spatio-temporal dynamics -- MEG; transfer between brain areas -- iEEG; differences across cortical layers -- high-field fMRI) are explained by a wide range of computational models ranging from acoustics to semantics to deep neural networks. By doing so, we will push forward our knowledge of how our brain transforms natural sounds into semantic representations of sound sources in our environment.
Monsieur Bruno Giordano (Institut de Neurosciences de la Timone)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
INS Institut de Neurosciences des Systèmes
LIS Laboratoire d'Informatique et Systèmes
Maastricht University / Department of Cognitive Neuroscience
INT Institut de Neurosciences de la Timone
University of Glasgow / Institute of Neuroscience and Psychology
Help of the ANR 543,253 euros
Beginning and duration of the scientific project:
March 2022
- 48 Months
