第二十六期

l 2022年11月28日（周一） 腾讯会议：398-414-674  密码：221128    

报告40：

报告时间：2022年11月28日（周一） 17:00-18:30

报告嘉宾：Prof. Simon Schultz, Imperial College London

报告题目：Robotic patch-clamp neurophysiology

报告摘要：Progress in neuroscience has been driven by technological innovation. Measurement technologies such as functional magnetic resonance imaging, extracellular electrophysiology and calcium imaging have driven major advances in our understanding of the brain. However these technologies all have in common that they are indirect measurements of neural activity. The “gold standard” technique for direct measurement of cellular activity is the patch clamp. However, this is a demanding technique, which requires the development of much skill, which has limited its utility. In this talk I will describe our efforts to automate patch clamp physiology, directed towards scaling up our ability to perform patch clamp recordings from genetically and fluorescently targeted cells in vivo. I will summarise the current status of the project, with “blind” automated patch clamp now largely a solved problem, and “targeted” automated patch clamp achievable both in vitro and in vivo. Our current effort is to extend this to simultaneously record from multiple targeted cells in intact preparations. This is likely to have consequences both for our understanding of brain function, as well as accelerating efforts to find and characterize drugs for treating brain disorders.

报告人简介：Simon R Schultz is Professor of Neurotechnology at Imperial College London, and Director of the Imperial Centre of Excellence in Neurotechnology. He trained in physics and electrical engineering (at Monash and Sydney Universities), before completing a DPhil in computational neuroscience at Oxford University in 1998. This was followed by postdoctoral stints in experimental neuroscience with Tony Movshon at New York University, and Michael Häusser at UCL. He joined Imperial College in 2004, and has led the development of Imperial’s critical mass in the area of Neurotechnology. He is widely known for work on neural coding. He has been amongst the pioneers in the use of two-photon imaging to study neural coding and has also worked on large-scale computational models of cortical circuits. He has been the PI or Co-PI of grants totalling over £20M, including being the PI for Imperial College of the EU FP7 Marie-Curie Training Network “NETT - Neural Engineering Transformative Technologies”, and PI of the EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health. He is a Fellow of the Institute of Engineering and Technology (FIET) and of the Royal Society of Biology (FRSB).