Neural and cognitive factors in healthy and impaired hearing
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AI plain-English summaryA cochlear implant user in a crowded restaurant still struggles to pick out a single voice from the background noise — and this research aims to understand why. The problem is that even after hearing is restored with a cochlear implant, many older people and those with hearing loss find noisy environments exhausting or impossible to navigate. Current implants do not replicate the brain’s natural ability to filter sound. This project combines behavioural tests, EEG recordings, and intra-operative measurements to map the neural and cognitive factors that make speech understanding so difficult — both in people with normal hearing and in implant users. If successful, the work could lead to smarter signal-processing algorithms for cochlear implants, allowing a wider range of patients to hear clearly in real-world conditions. It may also inform hearing-aid design and auditory training programmes. The research is primarily fundamental science — it seeks to explain how the brain handles competing sounds — but that understanding is a prerequisite for any future device improvement.
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