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复旦大学冯建峰教授学术报告

来源: 点击: 时间: 2018年06月04日 09:33

报告题目Peer into Your Brain via contiguous-scale data

报告时间:6月4日下午15:00

报告地点:民主楼小礼堂

报告人:冯建峰教授

报告简介:

With the available data of hugesamplesofcontiguous-scales both for healthy controls and patients including depression, autism and schizophrenia etc, we are in the position to quantify human brain activities such as creativity, happiness, IQ and EQ etc and search the roots of various mental disorders. With novel mathematical and machine learning approaches, we first introduced functional entropy and entropy rate of resting state to characterize the dynamic behaivour of our brain. It is further found that the functional entropy is an increasing function of age, but a decreasing function of creativity and IQ. Its biological mechanisms are explored. With the brain wide associate study approach, for the first time in the literature we are able to identify the roots of a few mental disorders. For example, for depression, we found that the most altered regions are located in the lateral and medial orbitofrontal cortex for punishment and reward. Follow-up rTMS at the lateral orbitofrontal cortex demonstrated significant outcomes of the treatments. Finally we discuss some of our recent results on brain-inspired AI and their applications.

报告人简介:

国家第二批“千人计划”特聘教授、上海数学中心首席教授、复旦大学类脑智能科学与技术研究院院长。长期致力于发展数学、统计与计算机的理论和方法,并原创性地将它们应用于解决神经科学,各类脑疾病和智能算法中的具体问题。作为英国已做出突出贡献和具有巨大潜力的科学家,2011年获英国皇家学会的沃夫森研究功勋奖(首位华人)。在单神经元和神经元网络的动力学研究、机器学习算法的设计和分析、随机控制理论、因果关系分析等方面都做出过杰出工作,发表在Molecular Psychiatry, Brain, PNAS, PRL, J Neuroscience, IEEE系列上。目前研究兴趣主要集中在不同尺度的海量数据的分析,挖掘和理论研究上。提出和发展了全脑关联分析(BWAS)的方法和理论,并成功的应用于抑郁症,精分和自闭症的病灶的发现和抑郁症的治疗中。


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