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个人简介
The research in Shlizerman's group combines dynamical systems theory with data analysis to produce realistic data-driven dynamical models. In particular, the focus is on developing methods for inference of network architecture and modeling dynamics of networks. Our investigations are at the interface of development of generic computational approaches and modeling actual biological and physical systems.
With the data-driven methodology the group is working on modeling neurobiological networks underlying insects' sensory systems and neural dynamics of simple organisms.
With the data-driven methodology the group is working on modeling neurobiological networks underlying insects' sensory systems and neural dynamics of simple organisms.
研究兴趣
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IEEE transactions on neural networks and learning systemsno. 99 (2023): 1-9
CVPR 2023 (2023): 9749-9759
NeurIPS (2023)
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CoRR (2023)
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