SOURCE-LINKED INTELLIGENCE
In vivo assessment of the optical cochlear implant performance: coding strategy optimization
nses to map the frequency activation of separate optical channels. Second, I will develop predictive models that derive the optogenetically and acoustically evoked responses of the midbrain, applying machine learning techniques. Third, I will use the above-mentioned tools to identify the optimal coding strategy for the oCI. This project will accelerate the development of the oCI, and provide benchmarking standards for the clinical trials of optical neural implants. auditory system, hearing restoration, optical cochlear implant, electrophysiology, gerbil, inferior colliculus, binaural interaction component, optogenetics, predictive modelling, machine learning
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 173847.36
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.