Systems neuroscience, neural coding, olfaction

2008-2013 Ph.D in Physics, Peking University, Center for quantitative biology. Thesis with Qi Ouyang & Yuhai Tu.

2004-2008 B.S. in Physics, Jilin University, School of Physics.

   

2020-          Principal Investigator, Institute of Biophysics, Chinese Academy of Science.

2013-2020, Postdoctoral Fellow, Harvard University, Department of Physics and Center for Brain Science.

2020 Fall, Fundamental Biomedical Signal Processing

   

• "Structured odorant response patterns across a complete olfactory receptor neuron population" Neuron, (2019).

• "Escape band in Escherichia coli chemotaxis in opposing attractant and nutrient gradients." PNAS., (2019).

• "Mechanical regulation of stem cell differentiation through stretch-activated Piezo channel." Nature. (2018).

• "Barrier crossing in Escherichia coli chemotaxis." Phys. Rev. Lett., (2017).

• "The wiring diagram of a glomerular olfactory system." eLife, (2016).

• "Reverse-correlation analysis of navigation dynamics in Drosophila larva using optogenetics." eLife, (2015).

• "A pathway-based mean-field model for E. coli chemotaxis: mathematical derivation and its hyperbolic and parabolic limits." Multiscale Modeling & Simulation, (2014).

• "Discovery of novel chemoeffectors and rational design of Escherichia coli chemoreceptor specificity." PNAS, (2013).

• "Frequency dependent Escherichia coli chemotaxis behavior." Phys. Rev. Lett (2012).

• "Pathway-based mean-field model for Escherichia coli chemotaxis." Phys. Rev. Lett., (2012).

• "A parallel diffusion-based microfluidic device for bacterial chemotaxis analysis." Lab Chip, (2012).

• "Diffusion-based concentration control in microcavities during long time period by programmed syringe pumps." Microelectronic Engineering, (2010).

The brain's remarkable characteristic lies in its ability to process information and control behavior through networks of diverse neurons. We are dedicated to exploring the quantitative principles of biological neural systems at the network level, focusing on the following areas:

Neural Coding

The nervous system represents and processes information through the collective activity of neurons. Constrained by both internal and external environments, biological neural coding exhibits unique yet universal characteristics. We study the formation, transformation, and development of olfactory neural coding in fruit flies, exploring the fundamental principles of biological neural coding from perspectives such as statistics, dynamics, and neural computation. These principles are then applied to the development of brain-inspired algorithms and bionic systems.

Circuit Assembly

The structure of neural networks largely determines the properties and functions of the nervous system. Developmental processes, physical constraints, and neural activity all leave imprints on network structure. By analyzing the connectomes of organisms like C. elegans and fruit flies, and tracking their development and plasticity, we identify key factors influencing network structure across multiple spatiotemporal scales and construct dynamic models of neural circuit assembly.

Motor Control

Motor control is one of the most crucial functions of the nervous system, with information processing ultimately needing to manifest in behavior. The uniqueness of movement lies in its being the result of interactions among the nervous system, body and environment. We combine mechanics, control theory, neuroscience, and virtual reality to study the movement of fruit fly larvae, exploring the fundamental principles of biological motor control to inspire new approaches in the design and development of bionic robots.

已指导学生

张露涵  博士研究生  071006-神经生物学  

现指导学生

叶琛  博士研究生  071006-神经生物学  

纪潇航  博士研究生  071006-神经生物学  

吴宇斌  博士研究生  071006-神经生物学  

杨瑞初  博士研究生  071006-神经生物学  

李维汉  博士研究生  071006-神经生物学  

陈叶无霜  博士研究生  071006-神经生物学  

李月白  博士研究生  071006-神经生物学  

陈诗瀚  博士研究生  071006-神经生物学  

刘天钰  硕士研究生  071006-神经生物学  

唐嘉豪  硕士研究生  071011-生物物理学  

黄欣  博士研究生  071006-神经生物学