Anupriya Thirumalai

CochleaNet is a deep learning framework for analyzing cochlea imaging data, enabling segmentation and analysis of cochlear structures and gene therapy products.

This study shows that variations in Ca2+ channel activation in inner hair cells affect spiral ganglion neuron firing rates and sound threshold, with implications for noise-induced hearing loss in patients with the CaV1.3A749G mutation.

This study improves optogenetic modification of spiral ganglion neurons in gerbils using microcatheter-based AAV delivery, achieving reliable ChR expression in 80% of treated animals but with limited transduction efficiency.

The paper develops fast photoswitchable ligands for controlling neuronal activity in the cochlea, enabling rapid and sustained photocontrol without genetic modification.

This paper develops thin optical fibers and integration techniques to enable large-scale neuronal recordings and ultrafast optogenetic inhibition in freely moving animals.