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个人简介
Research Interest
Applied mathematics
Neuroscience
Modeling and simulations
The experimental techniques in neuroscience have advanced dramatically both in the number of simultaneously recorded cells and the ability to do so in behaving animals in rich environments. New data constantly reveal unseen diversity and complexity of neurons’ response patterns and their dynamics over time. Turning such big data into knowledge about the brain requires two types of mathematical efforts:
New models and theories to understand the mechanisms and principles of how neural circuits allow the animal to process information and generate behaviors
Advanced data analysis methods to uncover structures and to infer biologically important features
My group applies theories of complex networks, dynamical system, and machine learning to questions spanning the spectrum between the two types, with a focus on the ongoing challenge to relate the connectivity patterns between neurons and the dynamics and function of the circuit. Topics and projects include:
Graph motifs and collective dynamics of neuronal networks
Functional organizations and circuits from whole-brain neuronal activity data in larval zebrafish
Population response structures and olfactory coding in Drosophila larvae.
Applied mathematics
Neuroscience
Modeling and simulations
The experimental techniques in neuroscience have advanced dramatically both in the number of simultaneously recorded cells and the ability to do so in behaving animals in rich environments. New data constantly reveal unseen diversity and complexity of neurons’ response patterns and their dynamics over time. Turning such big data into knowledge about the brain requires two types of mathematical efforts:
New models and theories to understand the mechanisms and principles of how neural circuits allow the animal to process information and generate behaviors
Advanced data analysis methods to uncover structures and to infer biologically important features
My group applies theories of complex networks, dynamical system, and machine learning to questions spanning the spectrum between the two types, with a focus on the ongoing challenge to relate the connectivity patterns between neurons and the dynamics and function of the circuit. Topics and projects include:
Graph motifs and collective dynamics of neuronal networks
Functional organizations and circuits from whole-brain neuronal activity data in larval zebrafish
Population response structures and olfactory coding in Drosophila larvae.
研究兴趣
论文共 27 篇作者统计合作学者相似作者
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Zezhen Wang,Weihao Mai,Yuming Chai,Kexin Qi,Hongtai Ren,Chen Shen,Shiwu Zhang, Guodong Tan,Yu Hu,Quan Wen
bioRxiv (Cold Spring Harbor Laboratory) (2023)
PLoS Computational Biologyno. 7 (2022): e1010327-e1010327
Neuronno. 5 (2019): 950-962.e7
semanticscholar(2018)
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Xiuye Chen,Yu Mu,Yu Hu, Aaron T. Kuan,Maxim Nikitchenko,Owen Randlett,Haim Sompolinsky,Florian Engert,Misha B. Ahrens
Neuron (2018)
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