Opportunity at Davies Teaching Fellowships (ARL/USMA)
EEG Signal Processing and Analysis
MD and FL-Human Research & Engineering Dir-FFP, Human Research and Engineering Directorate - FFP
||Aberdeen Proving Ground, MD 210055425
|Franaszczuk, Piotr Julian
The study of complex networks in the brain provides insight into dynamical processes responsible for cognition and behavior of humans. Availability of more powerful computational resources allows for development and implementation of advanced signal processing methods to signals recorded from brain (EEG and ECoG) during the performance of different tasks under various external conditions.
This research opportunity may involve implementation, modification, and development of advanced EEG processing methods, including but not limited to multivariate connectivity measures, time-frequency, and phase analysis. Applicants should have a strong signal processing and programming background and an interest in applying computational methods in neuroscience.
Boatman-Reich D, et al: Frontiers in Computational Neuroscience 19(4): 4, 2010
Korzeniewska A, et al: Neuroimage 56(4): 2218, 2011
EEG; Signal processing; Effective connectivity; Autoregressive modeling; Computational neuroscience; Time-frequency methods; High gamma;
Open to U.S. citizens
Open to Postdoctoral applicants