From the outer ear to the nerve: A complete computer model of the peripheral auditory system

0577750 - ÚOCHB 2024 RIV NL eng J - Článek v odborném periodiku
Ticháček, Ondřej - Mistrík, P. - Jungwirth, Pavel
From the outer ear to the nerve: A complete computer model of the peripheral auditory system.
Hearing Research. Roč. 440, December (2023), č. článku 108900. ISSN 0378-5955. E-ISSN 1878-5891
GRANT EU: European Commission(XE) 101095957 - Q-SCALING
Institucionální podpora: RVO:61388963
Klíčová slova: computer modeling * peripheral auditory system * hair cell specialization * ribbon synapse * auditory nerve * cochlear amplifier * mechano-electrical transduction
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 2.8, rok: 2022
Způsob publikování: Omezený přístup
https://doi.org/10.1016/j.heares.2023.108900

Computer models of the individual components of the peripheral auditory system – the outer, middle, and inner ears and the auditory nerve – have been developed in the past, with varying level of detail, breadth, and faithfulness of the underlying parameters. Building on previous work, we advance the modeling of the ear by presenting a complete, physiologically justified, bottom-up computer model based on up-to-date experimental data that integrates all of these parts together seamlessly. The detailed bottom-up design of the present model allows for the investigation of partial hearing mechanisms and their defects, including genetic, molecular, and microscopic factors. Also, thanks to the completeness of the model, one can study microscopic effects in the context of their implications on hearing as a whole, enabling the correlation with neural recordings and non-invasive psychoacoustic methods. Such a model is instrumental for advancing quantitative understanding of the mechanism of hearing, for investigating various forms of hearing impairment, as well as for devising next generation hearing aids and cochlear implants.
Trvalý link: https://hdl.handle.net/11104/0346864


Vědecká data: GitHub