基本信息
浏览量:44
职业迁徙
个人简介
Uygar Sümbül joined the Allen Institute as an Assistant Investigator in 2017. His current research at the Institute focuses on the modeling and analysis of neuronal cell type identity based on genetic, anatomical, and physiological data. Previously, Uygar held postdoctoral positions in Sebastian Seung’s lab at MIT, and Liam Paninski’s lab at Columbia University. During these appointments, he developed machine learning methods for multi-modal classification of cell types, and for segmenting individual neurons in multispectral images of the nervous tissue. In particular, his research demonstrated a submicron reproducibility in the anatomy of mouse retinal neurons, and the existence of a consistent mapping between anatomical and molecular definitions of cell types. Uygar received a Bachelor’s degree from Bilkent University (Ankara, Turkey).
Research Interests:
What defines a neuronal cell type is a long-standing problem in Neuroscience. It is not always clear whether consistent identities can be assigned to neuronal populations across anatomical, molecular, and physiological observations. Uygar’s research tries to address these problems using the multi-modal observations of cortical neurons obtained at the Institute. He develops machine learning methods for classification that take advantage of these large, high-quality datasets. Uygar is also broadly interested in the anatomical organization of the cortex and how this pertains to neuronal identity.
Research Interests:
What defines a neuronal cell type is a long-standing problem in Neuroscience. It is not always clear whether consistent identities can be assigned to neuronal populations across anatomical, molecular, and physiological observations. Uygar’s research tries to address these problems using the multi-modal observations of cortical neurons obtained at the Institute. He develops machine learning methods for classification that take advantage of these large, high-quality datasets. Uygar is also broadly interested in the anatomical organization of the cortex and how this pertains to neuronal identity.
研究兴趣
论文共 53 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
bioRxiv : the preprint server for biology (2024)
biorxiv(2024)
Olga Gliko, Matt Mallory,Rachel Dalley,Rohan Gala,James Gornet,Hongkui Zeng,Staci Sorensen,Uygar Sümbül
biorxiv(2024)
加载更多
作者统计
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