基本信息
浏览量:60
职业迁徙
个人简介
In sighted individuals, vision is the foundation of perception and an important contributor to decision-making, planning, and memory. Yet the neuronal basis of how we construct internal representations of external visual scenes remains largely unknown. Research in the Smith laboratory is aimed at understanding how groups of neurons interact to construct our visual perception of the visual world, and then access that perception in service of cognition and motor outputs. We do this with a host of methods, combining computational and experimental approaches to understand the brain and its functions in both normal and disease states. A particular focus of the work in the Smith lab involves bridging across scales and methodologies in neural engineering approaches, leveraging the information provided by each. This involves combining local signals from single neurons with more global signals such as electroencephalography at the scalp or near-infrared imaging of blood oxygenation in the brain.
Research Interests: neural engineering, visual perception, cognition, eye movements, neural circuits
Research Interests: neural engineering, visual perception, cognition, eye movements, neural circuits
研究兴趣
论文共 116 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
Richard Johnson,Matthew A Smith
crossref(2024)
Nikita Kedia, Mohini Banerjee,Deepshikha Acharya,Alexander Ruesch,Jason Yang, Samantha Schmitt,Matthew Smith,Jana M. Kainerstorfer
Clinical and Translational Neurophotonics 2023 (2023)
引用0浏览0引用
0
0
bioRxiv : the preprint server for biology (2023)
IEEE Open Journal of Engineering in Medicine and Biology (2023): 96-101
引用1浏览0EIWOS引用
1
0
IBRO Neuroscience Reports (2023): S721-S721
bioRxiv : the preprint server for biology (2023)
引用0浏览0WOS引用
0
0
Jason Yang,Deepshikha Acharya,William B. Scammon, Samantha Schmitt, Emily Crane,Matthew A. Smith,Jana M. Kainerstorfer
Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN) (2022)
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