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The different balance mechanisms across various levels in the complex brain system

SourceSeminar Date of Publication:Oct 20,2022
10/20 2022 Seminar
  • Title The different balance mechanisms across various levels in the complex brain system
  • Speaker 陈育涵 (北京师范大学系统科学学院)
  • Date 2022年10月20日 10:30-12:00
  • Venue https://meeting.tencent.com/dm/GjM7uNUZuBXZ 腾讯会议:554-309-888 会议密码:9703
  • Abstract

      Complex brain systems span multiple levels. As a substrate for function, insight into the large-scale brain structures is crucial for fundamental and systems-level understanding of primate brains. In this talk, we will combine the findings from different computational models and various multi-modal neuroscience experimental datasets to explore the different balance mechanisms of structural connectome across various levels: 1) in the mesoscopic level, the balance between basic constraints of cost and efficiency shapes the structural brain connectome to form the important mesoscopic features; 2) in the important functional system level, the relationship between the structural connectome and energy metabolism reveals the underlying mechanism of balance of benefit and risk; 3) in the regional level, the large-scale primate brain connectome across different regions are revealed by biological rules; 4) During the evolution for mammalian brains, brain scaling is revealed by a dataset with various structural features in the gray matter and the white matter in over 100 mammal brains. 

        

      Bio: 

        

      

     Yuhan Chen received her BS in theoretical physics at the University of Science and Technology in China in 2006, and Ph.D. in Computational Neuroscience at Hong Kong Baptist University in 2013, where she also spent two years pursuing postdoctoral research. From 2015-2021, she worked as an assistant researcher at the state key laboratory of cognitive neuroscience and learning at Beijing Normal University. She is currently an assistant researcher in the School of Systems Sciences at Beijing Normal University since 2021. The focus of her laboratory is to understand the brain mechanisms of information processing and functional integration by building a cross-scale dynamic model with different brain regions.  Meanwhile, she also National Brain Program Child Brain Development Program to investigate the mechanisms involved in the formation and evolution of baby connectomes through the combined application of computational models and multimodal connectome datasets. Yuhan Chen has published a series of publications in PNAS, Cerebral Cortex, PLoS Computational Biology, etc.  

        

     Contact: Zhou Haijun