报告题目：Physics of Multiscale Brain Structure and Dynamics
报告人：Peter Alexander Robinson (University of Sydney)
The brain’s structures and dynamics extend over many orders of magnitude in space and time, as do measurement and imaging methods. By averaging over scales of a few tenths of a millimeter and below, physics-based neural field theory (NFT) enables a unified quantitative treatment of brain activity and structure from the millimeter scale up to the whole brain, and from milliseconds to days and beyond. This talk outlines the basis of NFT and how it is used to explain brain function and structure. In particular, it explains phenomena such as natural brain resonances and activity patterns observed via EEG and fMRI, the effects of external stimuli seen in evoked responses, epileptic seizures, and sleep-wake dynamics. Links to underlying brain structure and physiology can also be inferred by fitting NFT predictions to data, thereby allowing parameters to be constrained, brain states to be tracked, and connectivity to be determined noninvasively.
Prof. Peter received his BSc Degree and PhD Degree in Physics from University of Sydney in 1983 and 1986, respectively. Prof. Peter is currently the Theme Leader of Modeling and Neurotechnology in ARC Center of Excellence for Integrative Brain Function and the Australian Research Council Laureate Fellow. Prof. Peter’s current research interests are: Modeling and Analysis of Multiscale “Working Brain” Model; Physics of Multiscale Brain Structure and Dynamics. He received Australian Institute of Physics NSW Branch Prize for Physics Honors in 1983, Royal Societies Eureka Prize for Interdisciplinary Research (2003) and NSW Science and Engineering Awards (2012).