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【医学部学术讲座】——Retinal computation: toward the next generation of neuroprosthesis

文章来源: 作者: 发布时间:2018年01月03日 点击数: 字体:

主讲嘉宾:Jian Liu

University of Leicester Systems Neuroscience Center Assistant Professor

时间: 2018年01月09日上午 10:00 – 12:00

地点: 深圳大学西丽校区A2-517

主持人: 张治国 教授

报告内容简介:

Retinal prostheses have developed over decades to restore a normal vision. Traditionally, the focus is on designing new materials of implants. Recently, the novel concept is to embedding the computational principles found in neuronscience research into hardware. How natural scenes are encoded by retinal ganglion cells (RGCs) is still an unsolved problem. Here, I study how natural scenes are represented in the RGC responses by recording spikes from isolated retinas with a large-scale multielectrode array. We developed some data-driven approaches, spike-triggered non-negative matrix factorization and deep learning nets for characterizing the subunits of the receptive field of RGCs. I show that knowledge about the subunits is important for predicting RGC’s responses to natural scenes. I further demonstrate that how these neuroscience observations are transferred to neuromorphic chips for the next generation of artificial retina. I will discuss how these computations can be useful for the next generation of retinal prostheses.

报告嘉宾简介:

Dr. Jian Liu received the Ph.D. in mathematics from UCLA in 2009. He was an Assistant Professor with the Institute for Theoretical Computer Science, Graz University of Technology, Austria, and working on the work package of "principles of brain computation" within the European Human Brain Project. From 2018, he is a tenured Assistant Professor in Centre for Systems Neuroscience at University of Leicester, UK. His area of research includes computational neuroscience and brain-inspired computation for artificial intelligence. His work was published in Nature Communications, eLife, J. of Neuroscience, PLos Computational biology, IEEE TNNSL, etc.

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