Understanding the visual system in health and disease is a key issue for neuroscience and neuroengineering applications such as visual prostheses.
Aiwen Xu is a PhD student in Computer Science. Prior to UC Santa Barbara, she received a BS in Computer Science and a BS in Mathematics from New York University Shanghai. She hopes to utilize mathematical modeling and machine learning techniques to improve bionic vision.
BS in Computer Science and BS in Mathematics, 2018
New York University Shanghai
Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler
Understanding the visual system in health and disease is a key issue for neuroscience and neuroengineering applications such as visual prostheses.
How does the brain extract relevant visual features from the rich, dynamic visual input that typifies active exploration, and how does the neural representation of these features support visual navigation?
We present a biophysically detailed in silico model of retinal degeneration that simulates the network-level response to both light and electrical stimulation as a function of disease progression.
Aiwen Xu, Michael Beyeler bioRxiv
We combined deep learning-based scene simplification strategies with a psychophysically validated computational model of the retina to generate realistic predictions of simulated prosthetic vision.
Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler ACM Augmented Humans (AHs) ‘21