主 题: Point Process Modeling and Inference in Neuroscience and Bioengineering
报告人: 陈哲 博士 (Harvard Medical School/MGH/MIT)
时 间: 2009-06-05 下午15:30 - 16:30
地 点: 理科一号楼 1572
In this talk, I will outline the basic theory of random point
process and illustrate how to apply point process theory for statistical modeling
and inference in the fields of computational neuroscience and bioengineering.
An overview of statistical inference tools is given. Research applications include
neural coding and decoding, human cardiovascular modeling and signal processing,
Calcium imaging, and many others. A broad overview of relevant research projects
is presented. I will also use examples to show how the interactions of continuous
and discrete-valued signal processing open many interesting research questions
and topics.
