Topic: cochlea

Numerous computational models of the cochlea have been developed that faithfully capture the transformation of incoming sound into basilar membrane motion and auditory nerve spike patterns, with widespread uptake across academia and industry. Models of sensory processing in the brain, however, are generally much less accurate, with even the best failing to explain most of the variance in sub-cortical and cortical neural activity.Here, we used large-scale neural recordings from measurement sites spanning the inferior colliculus (IC) of normal-hearing gerbils to develop a deep learning model of

According to the World Health Organization (WHO), a growing number of 0.5 billion people currently suffer from disabling hearing loss (HL). While causes of HL are diverse, it mainly originates in dysfunctions of the inner ear. Recent improvements in light sheet fluorescence microscopy allow nanometric examination of the whole intact cochlea in immunohistochemistry. These findings may help to identify and quantify disease mechanisms on a new scale and aid in the development of new treatment options for patients with severe HL. In this study, we assess the nano-architecture of the cochlea using