基本信息
浏览量:80
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
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
论文共 88 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2024)
引用0浏览0EI引用
0
0
ICLR 2023 (2023)
引用0浏览0引用
0
0
IEEE transactions on neural networks and learning systemsno. 99 (2023): 1-9
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)pp.7819-7828, (2023)
CVPR 2023 (2023): 9749-9759
加载更多
作者统计
#Papers: 98
#Citation: 1678
H-Index: 23
G-Index: 40
Sociability: 7
Diversity: 0
Activity: 1
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn