Summary
Hearing is an essential part of human life. We communicate through the voice, use sounds to navigate in the world and enjoy listening to music. On the other hand noise pollution in living and working environments causes serious health problems impacting millions of people and many neurological or psychiatric conditions are accompanied by sensory symptoms. The personality concept of Sensory Processing Sensitivity (SPS) describes a continuum from hyper- to hyposensitivity profiles even in the healthy population. However, the underlying neural mechanisms are unknown and an objective acoustic tool to assess auditory SPS is missing.
This groundbreaking, interdisciplinary action will adress this gap by combining methods from cognitive and computational neuroscience, acoustics and psychology. I will compute mathematical models to characterize auditory performance, unravel the biological imprint of SPS using neuroimaging, and ultimately provide the scientific community with a much-needed acoustic battery to assess SPS differences objectively. Predictive coding, a general theory of neural function inspired by research in artificial intelligence, machine learning, and systems neuroscience, will provide the theoretical framework for the computational models.
The interdisciplinary environment at the Center for Music in the Brain (MIB) at Aarhus University, has as its primary goal to investigate predictive coding of music. Therefore, it is the perfect location for this work and my training in psychology, auditory neurosciences and music make me the ideal person for this action. At MIB I will enhance my neuroscience (MEG), computational and programming skills. During a secondment at Oxford University I will extend the analyses to whole-brain approaches. Overall the action will foster my development as an indepent researcher capable of leading my own research group with groundbreaking potential for academia and industrial fields of application.
This groundbreaking, interdisciplinary action will adress this gap by combining methods from cognitive and computational neuroscience, acoustics and psychology. I will compute mathematical models to characterize auditory performance, unravel the biological imprint of SPS using neuroimaging, and ultimately provide the scientific community with a much-needed acoustic battery to assess SPS differences objectively. Predictive coding, a general theory of neural function inspired by research in artificial intelligence, machine learning, and systems neuroscience, will provide the theoretical framework for the computational models.
The interdisciplinary environment at the Center for Music in the Brain (MIB) at Aarhus University, has as its primary goal to investigate predictive coding of music. Therefore, it is the perfect location for this work and my training in psychology, auditory neurosciences and music make me the ideal person for this action. At MIB I will enhance my neuroscience (MEG), computational and programming skills. During a secondment at Oxford University I will extend the analyses to whole-brain approaches. Overall the action will foster my development as an indepent researcher capable of leading my own research group with groundbreaking potential for academia and industrial fields of application.
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| Web resources: | https://cordis.europa.eu/project/id/101023399 |
| Start date: | 01-09-2022 |
| End date: | 31-08-2024 |
| Total budget - Public funding: | 207 312,00 Euro - 207 312,00 Euro |
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Original description
Hearing is an essential part of human life. We communicate through the voice, use sounds to navigate in the world and enjoy listening to music. On the other hand noise pollution in living and working environments causes serious health problems impacting millions of people and many neurological or psychiatric conditions are accompanied by sensory symptoms. The personality concept of Sensory Processing Sensitivity (SPS) describes a continuum from hyper- to hyposensitivity profiles even in the healthy population. However, the underlying neural mechanisms are unknown and an objective acoustic tool to assess auditory SPS is missing.This groundbreaking, interdisciplinary action will adress this gap by combining methods from cognitive and computational neuroscience, acoustics and psychology. I will compute mathematical models to characterize auditory performance, unravel the biological imprint of SPS using neuroimaging, and ultimately provide the scientific community with a much-needed acoustic battery to assess SPS differences objectively. Predictive coding, a general theory of neural function inspired by research in artificial intelligence, machine learning, and systems neuroscience, will provide the theoretical framework for the computational models.
The interdisciplinary environment at the Center for Music in the Brain (MIB) at Aarhus University, has as its primary goal to investigate predictive coding of music. Therefore, it is the perfect location for this work and my training in psychology, auditory neurosciences and music make me the ideal person for this action. At MIB I will enhance my neuroscience (MEG), computational and programming skills. During a secondment at Oxford University I will extend the analyses to whole-brain approaches. Overall the action will foster my development as an indepent researcher capable of leading my own research group with groundbreaking potential for academia and industrial fields of application.
Status
CLOSEDCall topic
MSCA-IF-2020Update Date
28-04-2024
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