Bogeng Song

I'm Bogeng Song (宋伯耕), I am a PhD student at Georgia tech, working with Dr. Dobromir (Doby) Rahnev. My work focus on the machine and biological vision vision. Before that, I am a master student majoring in Psychology at New York University, working with Grace Lindsay, Marisa Carrasco and Jonathan Winawer .

My research interests use computational modeling to understand how humans perceive and understand the world. At GT, My work uses behavior test and computational model to understand human visual perception. At NYU, my work mainly focuses on visual perception and attention. I use psychophysical methods and eye movements to study motion discrimination around the visual field, use deep learning methods to make models segment fMRI images, and use computational models to explore how bio-inspired attention affects task performance in visual and auditory models.

In the future, I hope to continue to focus on how does our attention guide human behavior? How does the brain represent sensory information? How does the brain use this information to learn/make decision? What algorithms do they use? Can we build models to fit people's behavior? My research is motivated by these questions.

In general, I am passionate about using machine learning models, especially deep learning method, as tools to understand the brain and mind.