Yassine Filali

Department
Rotating
Biography

I am interested in studying the underlying mechanisms between dynamic neural networks and complex behavioral states. My doctoral goal is to develop expertise in the Electome approach to investigate this relationship. This approach involves recording local field potentials (LFPs) to generate functional connectivity maps that reflect distinct behavioral phenotypes. To that end, my proposed Ph.D. work will center on characterizing a prospective negative affect neural network by targeting a subset of brain regions to describe negative affect susceptibility after stress exposure. 

ORCiD

Filali, Yassine
Hometown: Iowa City, IA
BS, Biomedical Engineering, University of Iowa