Internship on Statistical Methods for Brain Signals

Internship on Statistical Methods for Brain Signals

Internship Description

The student will learn the state-of-the-art methods for pre-processing and modeling brain signals (in particular, electroencephalograms (EEG)). The student will explore various measures of brain functional and effective connectivity through numerical simulations and actual EEG recordings during various learning tasks. At the end of the internship, the student is expected to submit a written report, a poster and give an informal seminar in the Statistics Program. 

Deliverables/Expectations

At the end of the internship, the student is expected to submit a written report, a poster and give an informal seminar in the Statistics Program.

Faculty Name

Hernando Ombao

Field of Study

​​Computer Science, Engineering, Statistics, Applied Mathematics, Economics, Physics.