While each place on the cochlea is most sensitive to a specific frequency, it will generally
respond to a sufficiently high-level stimulus over a wide range of frequencies. This spread of …

Simple Summary Artificial neural networks, inspired by the human brain, have demonstrated
human-level performance across multiple task domains, raising the exciting possibility of …

A number of auditory models have been developed using diverging approaches, either
physiological or perceptual, but they share comparable stages of signal processing, as they …

Sound processing in the human auditory system is complex and highly non-linear, whereas
hearing aids (HAs) still rely on simplified descriptions of auditory processing or hearing loss …

The human brain's ultra-low power consumption and highly parallel computational
capabilities can be accomplished by memristor-based convolutional neural networks …

Stem cells represent an ideal source for regenerative medicine; however, longitudinal
assessment of stem cell phenotype and function is challenging. Contrastingly, a …

Computational auditory models are important tools for gaining new insights into hearing
mechanisms, and they can provide a foundation for bio-inspired speech and audio …

Simulations of neural activity at different levels of detail are ubiquitous in modern
neurosciences, aiding the interpretation of experimental data and underlying neural …

The mechanical fault of gas-insulated switchgear (GIS) seriously threatens the security of the
power grid. Recently, acoustic-based fault diagnosis methods, which have the advantage of …

Current hearing aids mostly provide sound amplification fittings based on individual hearing
thresholds or perceived loudness, even though it is known that sensorineural hearing …