基本信息
浏览量:69
职业迁徙
个人简介
Evan Schaffer is a theoretical and experimental neuroscientist who uses both approaches to investigate the function of complete neural circuits. He is driven to understand the underlying computations in complex neural circuits that transform sensory information into intelligent behavior.As a graduate student working with Dr. Larry Abbott, Dr. Schaffer developed models for how recurrently connected neural networks respond to time-varying stimuli. He believes that neuroscience as a field will increasingly require the study of complex neural networks, necessitating both theoretical and experimental approaches. His career goal is to be able to contribute from both directions, running a lab where theory guides experiments, and the data from these experiments informs theoretical models.
研究兴趣
论文共 14 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
ICLR 2024 (2023)
引用0浏览0EI引用
0
0
biorxiv(2021)
semanticscholar(2018)
引用0浏览0引用
0
0
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